Abstract: Preface -- Acknowledgements -- Chapter1 Introduction -- Chapter 2 Neural Networks-Based Immune Optimization Regulation Using Adaptive Dynamic Programming -- Chapter 3 Optimal Regulation Strategy for Nonzero-Sum Games of the Immune System Using Adaptive Dynamic Programming -- Chapter 4 Evolutionary Dynamics Optimal Research-Oriented Tumor Immunity Architecture -- Chapter 5 N-Level Hierarchy-Based Optimal Control to Develop Therapeutic Strategies for Ecological Evolutionary Dynamics Systems -- Chapter 6 Combination Therapy-Based Adaptive Control for Organism Using Medicine Dosage Regulation Mechanism.-Chapter 7 Adaptive Virotherapy Strategy for Organism with Constrained Input Using Medicine Dosage Regulation Mechanism -- References.

Abstract: This open access book focuses on the practical application of Adaptive Dynamic Programming (ADP) in chemotherapy drug delivery, taking into account clinical variables and real-time data. ADP's ability to adapt to changing conditions and make optimal decisions in complex and uncertain situations makes it a valuable tool in addressing pressing challenges in healthcare and other fields. As optimization technology evolves, we can expect to see even more sophisticated and powerful solutions emerge.

Abstract: Review of Probability Theory -- Random Variables -- Random Signals (autocorrelation, power spectral density) -- Response of Linear Systems to Random Inputs (continuous, discrete) -- Estimation and Estimator Properties (small sample and large sample properties of estimators, CRLB) -- Least Square Estimation Likelihood (likelihood function, detection) -- Maximum Likelihood Estimation -- Minimum Mean-Square Error Estimation (Kalman Filter, information filter, filter stability) -- Generalizing the Basic Kalman Filter (colored noise, correlated noise, reduced-order estimator, Schmidt Kalman filter sequential computation) -- Prediction and Smoothing -- Nonlinear Filtering (Extended Kalman filter, unscented Kalman filter, ensemble Kalman filter, particle filter) -- The Expectation Maximization Algorithm -- Markov Models.

Abstract: This book provides first-year graduate engineering students and practicing engineers with a solid introduction to random signals and estimation. It includes a statistical background that is often omitted in other textbooks but is essential for a clear understanding of estimators and their properties. The book emphasizes applicability rather than mathematical theory. It includes many examples and exercises to demonstrate and learn the theory that makes extensive use of MATLAB and its toolboxes. Although there are several excellent books on random signals and Kalman filtering, this book fulfills the need for a book that is suitable for a single-semester course that covers both random signals and Kalman filters and is used for a two-semester course for students that need remedial background. For students interested in more advanced studies in the area, the book provides a bridge between typical undergraduate engineering education and more advanced graduate-level courses.

Abstract: Intelligentized technologies for robotic welding -- Advanced welding robot technologies -- Programming and simulation of welding robots -- Vision guiding and tracking technologies of welding robots -- Quality control of robotic welding -- Tele-control and network technologies for robotic welding -- Sensing technologies for welding process -- Robotic welding under special environment -- Intelligentized and digital welding equipments -- Intelligentized technologies for industrial process.

Abstract: The primary aim of this book is to provide researchers and engineers from both academic and industry with up-to-date coverage of new results in the field of robotic welding, intelligent systems and automation. The book is mainly based on papers selected from the 2022 International Conference on Robotic Welding, Intelligence and Automation (RWIA’2022) in Shanghai and Lanzhou, China. The articles show that the intelligentized welding manufacturing (IWM) is becoming an inevitable trend with the intelligentized robotic welding as the key technology. The volume is divided into four logical parts: Intelligent Techniques for Robotic Welding, Sensing of Arc Welding Processing, Modeling and Intelligent Control of Welding Processing, as well as Intelligent Control and its Applications in Engineering.

Abstract: ADRC control of an unmanned under-actuated aerial vehicle -- An optical-flow-assisted navigation method for UAVs using Sage-Husa EKF -- Critical Success Factors of Blockchain Implementation in the Automotive Supply Chain Management: Contribution through an Interpretive Structural Model -- Wireless Communication Systems Applied To Ev Wireless Charger: State of the art -- Enhancement of an electric vehicle's state of charge estimation using an extended Kalman filter -- Observer-based Controller Design for a Class of Discrete-Time Takagi-Sugeno Models: Application to One-Link Flexible Joint Robot.

Abstract: This book contains the original, peer-reviewed research papers from the International Symposium on Automatic Control and Emerging Technologies, held in Kenitra, Morrocco, on July 11-13, 2023. The topics covered include but are not limited to: System Identification, Linear/Nonlinear Control Systems, Data-driven Modelling and Control, Process Modelling and Process Control, Fault Diagnosis and Reliable Control, Intelligent Systems, and Machine Learning and Artificial Intelligence. The papers showcased here share the latest findings on topics with potential for academic research and industrial applications, making the book a valuable resource for researchers, engineers, and university students alike.

Abstract: Model Identification of Gas-Fired Industrial Furnace -- Lyapunov-based Controller for Bilinear Model Applied to Gas-fired Furnace -- Automatic Generation Control based Sliding Mode Observer Design for Multi-Area Multi-Source Power Systems -- The PID Speed Controller implementation Using Online-GA for Permanent Magnet Synchronous Motor Drive -- Research, Design and Control a New Fresh Orange Juice Vending Machine -- Integration of Image-Based Object Identification and Distance Estimation Algorithm for Field Operational Test System of Self-Driving Vehicles -- Robot Gesture Control Using Online Feedback Data with Multi-Tracking Capture System -- Adaptive Sliding Mode Control for Parallel Manipulator Hexapod -- A Study of Optimal Control for Under-actuated Parallel type – Triple Furuta Pendulum -- Passage Detection of a Train via a Reference Point -- User Grouping and Relay Selection for Improving Outage Performance of Downlink Wireless Systems -- Priority-based uplink raw slot utilization in the IEEE 802.11ah networks -- A Perfect Knife - bulk decompilation and preprocessing tool.

Abstract: This proceedings book features selected papers on 12 themes, including wireless communications, power systems, signal processing, robotics, control systems, sustainable energy, power electronics, intelligent networks and more. Covering topics such as performance of reconfigurable intelligent surfaces for 6G communication networks, improved neural network algorithms for optimizing the power flow of renewable energy sources, anomaly detection using stationary and non-stationary signal analysis in data sciences, novel object identification and distance estimation algorithms for self-driving vehicles, the book presents interesting ideas and state-of-the-art overviews.

Abstract: On P-refinement in Topology Optimization -- Computational Analysis of Darrieus Vertical Axis Wind Turbines for Exhaust Air Energy Extraction -- A Wideband Circular Slot-Loaded Hexagon-Shaped Microstrip Antenna for Microwave RF Energy Harvesting -- A New Method of Population Initialization for Enhancing Performance of Evolutionary Algorithms -- Performance Analysis of Metaheuristic Methods in the Classification of Different Human Behavioural Disorders -- The Influence of Wall Temperature on Total Pressure Drop During Condensation of R134a Inside a Dimpled Tube.

Abstract: This book includes selected peer-reviewed papers presented at the International Conference on Modeling, Simulation and Optimization (CoMSO 2022), organized by National Institute of Technology, Silchar, Assam, India, during December 21–23, 2022. The book covers topics of modeling, simulation, and optimization, including computational modeling and simulation, system modeling and simulation, device/VLSI modeling and simulation, control theory and applications, and modeling and simulation of energy systems and optimization. The book disseminates various models of diverse systems and includes solutions of emerging challenges of diverse scientific fields.

Abstract: Industry 4.0 and 5.0 -- Robotics and Automation -- AI & Computational Intelligence -- Intelligent Manufactory -- Design and Optimization -- Product Life-cycle Management -- Advanced Manufacturing Systems -- Manufacturing Operations Management -- Smart Aquaculture Technology -- Knowledge Management and Decision Making -- Manufacturing Quality Control and Management -- Sustainable Production -- Diagnosis and Prognosis of Machines -- Lean and Agile Manufacturing -- Virtual and Grid Manufacturing -- Resource and Asset Management -- Logistics and Supply Chain Management -- Fashion Logistics and Marketing -- RFID Applications -- Predictive and Cognitive Maintenance -- 3D Printing -- Intelligent Inspection -- Chemical Process Equipment -- Parallel Mechanism and Manipulator -- Integration of CAD/CAPP/CAM/CIMS -- Smart Factory.

Abstract: The book is a compilation of selected papers from the 13th International Workshop of Advanced Manufacturing and Automation (IWAMA 2023), held in Shanghai University of Engineering Science, China on 15 - 16 October, 2023. Topics focusing on novel techniques for manufacturing and automation in Industry 4.0 are now vital factors for the maintenance and improvement of the economy of a nation and the quality of life. It will help academic researchers and engineers to implement the concept, theory and methods in Industry 4.0 which has been a hot topic. These proceedings will make valuable contributions to academic researchers, engineers in the industry for the challenges in the 4th industry revolution and smart factories.

Abstract: 1 Introduction -- 2 Sampled-Data Consensus Control of MAS with Time Delay -- 3 Sampled-Data Consensus Control of MAS with Packet Losses -- 4 Sampled-Data Consensus Control of MAS under Switching Network -- 5 Output Feedback Sampled-Data Control of MAS -- 6 Hybrid Event-Triggered Bipartite Consensus of MAS -- 7 Hybrid Event-Triggered Consensus of MAS with Time Delay -- 8 Hybrid Event-Triggered Consensus of MAS with Packet Losses -- 9 Sampled-Data Based Reset Control of MAS -- 10 Event-Based Reset Control of MAS -- 11 Reset Observer Based Event-Triggered Control of MAS.

Abstract: This book focuses on stability analysis and control design approaches for multi-agent systems under network-induced constraints. A hybrid system approach is introduced to address the cooperative control problem of networked multi-agent systems, and several important topics such as asynchronous sampled data cooperative control, hybrid event-triggered cooperative control, and reset-based cooperative control are studied under the hybrid system framework. The special feature of this book is that a hybrid systems approach is proposed for the cooperative control of multi-agent systems, which is beneficial for relaxing the conservativeness of stability analysis and network parameter computation. Interested readers can learn a novel approach to cooperative control of multi-agent systems, and this book can benefit researchers, engineers, and graduate students in the fields of multi-robot cooperation, unmanned aerial vehicle formation, control engineering, etc.

Abstract: 1. Finite Element Modeling of Electric Field Distribution in a Defected XLPE Cable Insulation Under Different Magnitudes of Stressing Voltage -- 2. Optimal switching sequence of urban power system based on dynamic thermal rating parameter adjustment -- 3. Improved DC-Link Voltage Control Scheme for Standalone PV Renewable Energy System -- 4. Wind energy distributions for integration with dynamic line rating in grid network reliability assessment -- 5. Control Method of Two-stage Grid-connected PV Inverter System -- 6. Methodological Comparison and Analysis for Six-Switching PMBLDC Motor Control -- 7. Energy efficiency performance optimization and surge prediction of centrifugal gas compressor.

Abstract: This book presents selected papers from the Proceedings of the International Conference 12th International Conference on Robotics, Vision, Signal Processing, and Power Applications ROVISP 2023, held in Penang, Malaysia, covering topic areas divided into the following tracks: (1) Robotics, Control, Mechatronics, and Automation; (2) Vision, Image and Signal Processing; (3) Telecommunication Systems and Applications; (4) Electronic Design and Applications; (5) Electrical Power, Energy, and Industrial Applications. Its content highlights state-of-the-art technologies adopted by the relevant industries which appeal to researchers and industrial practitioners working in the field.

Abstract: Intelligentized technologies for robotic welding -- Advanced welding robot technologies -- Programming and simulation of welding robots -- Vision guiding and tracking technologies of welding robots -- Quality control of robotic welding -- Tele-control and network technologies for robotic welding -- Sensing technologies for welding process -- Robotic welding under special environment -- Intelligentized and digital welding equipments -- Intelligentized technologies for industrial process.

Abstract: The primary aim of this volume is to provide researchers and engineers from both academic and industry with up-to-date coverage of new results in the field of robotic welding, intelligent systems and automation. The book is mainly based on papers selected from the 2022 International Conference on Robotic Welding, Intelligence and Automation (RWIA’2022) in Shanghai and Lanzhou, China. The articles show that the intelligentized welding manufacturing (IWM) is becoming an inevitable trend with the intelligentized robotic welding as the key technology. The volume is divided into four logical parts: Intelligent Techniques for Robotic Welding, Sensing of Arc Welding Processing, Modeling and Intelligent Control of Welding Processing, as well as Intelligent Control and its Applications in Engineering.

Abstract: Part I: Multidimensional Signal Processing -- Chapter 1. Design and Optimization of Steering-by-wire System for FSAC Racing Car -- Chapter 2. New Approach for Soil Moisture Prediction Based on Multiple Influencing Factors -- Chapter 3. Fuzzy PID Control of Brushless DC Motor Based on the Improved Bat Algorithm -- Chapter 4. Monocular Stereo Learning Based on Hybrid Attention Transformer -- Chapter 5. Prediction of Tool Remaining Useful Life of NC Machine Tool based on DTW Algorithm and LSTM Neural Network -- Chapter 6. Research on Online Detection Device and Method of Corn Grain Crushing Rate -- Chapter 7. Maize Kernels Endosperm Feature Extraction Based on Genetic Algorithm Image Enhancement -- Chapter 8. Data Balancing of Ceph Distributed Storage System Based on Deep Reinforcement Learning -- Chapter 9. The Fault Detection Method of the Seismic Image Based on Semantic Segmentation -- Part II: Augmented Reality and Deep learning -- Chapter 10. Analysis on Grey Space Form and Simulation Evaluation in Landscape Design -- Chapter 11. 3D Animation Design and Production Based on Intelligent Algorithm and Virtual Reality. etc.

Abstract: This book features a collection of high-quality, peer-reviewed research papers presented at Second 'World Conference on Intelligent and 3-D Technologies' (WCI3DT 2023), held in China during May 26–28, 2023. The book provides an opportunity to researchers and academia as well as practitioners from industry to publish their ideas and recent research development work on all aspects of 3D imaging technologies and artificial intelligence, their applications and other related areas. The book presents ideas and the works of scientists, engineers, educators and students from all over the world from institutions and industries.

Abstract: Preface -- Simple Electroaerodynamic Aircraft Testing with Multistage Staggered Arrangement of the Electrodes -- Multi-RISs Assisted UAV-Enabled Wireless Sensor Network -- Research on Landing Attitude Control of Terrain Adaptive UAVs -- Optimal Event-Triggered Control of Quadrotor with Low Power Consumption and High Stability -- Research on the Intelligent Control System of Aerial Robots -- A multi-task path planning algorithm of UAV based on improved RRT -- Effects of Geometric Nonlinearity on the Gust Responses of Near-space Solar-powered Vehicle Landing Phase -- Research and application of intelligent automatic drone port and image recognition in precise inspection of pole tower -- Numerical analysis of low Reynolds number compressible flows with triangle airfoil -- A multi-stage target assignment method based on improved genetic algorithm -- Design and Analysis of UAV Arresting Device based on Electromagnetic Damper -- Research on Obstacle-Crossing Characteristic for Air Cushioned Transport Aircraft -- Analysis and optimization design of the locking performance of the self-folding strut lock mechanism for landing gear based on singularity theory -- Design Method for Landing Gear Mechanisms Based on Characterization Matrix -- A Novel Method for Camera Focal Lengths Calibration Based on Active Vision -- Influence on Vertical Landing Stability of Multirotor UAVs with Adaptive Landing Gears -- Six-wheel trolley type landing gear ground slip-run load analysis considering fuselage flexibility -- Research on landing and rollout dynamic characteristics of skid-equipped aircraft -- A Multi-legged Terrain adaptive Take-off and Landing Ducted Aircraft -- Perception-Constrained Vision-Based Quadrotor Control -- Study on the Aerodynamics Interaction between Propeller and Stratospheric Airship with Multi-Propeller Layout -- Rapid Trajectory Optimization of Continuous-Low-thrust Spacecraft Based on Bezier Shape Function and Inverse Dynamics -- Research on Tail-sitter VTOL UAV landing technology based on pre-trained bionic technology -- Performance Reliability Assessment of Retraction Mechanism Based on Bayesian Theory -- Control Allocation for Spin Interceptor with Aerodynamics and Lateral Thrust Blended -- Trajectory optimization for spacecraft close proximity based on dual quaternions -- Collaborative Multi-Drones Air Combat Threat Assessment and Credibility Study -- A Novel Navigation Beneficial Path Planning Algorithm for Application in Lunar Surface Exploration -- Design of Axial Force Sensor based on Equal Strength Beam -- Stability of a tractor with implement by employing fluid-based inerters into front axle suspension -- High Precision Measurement of High Frequency Dynamic Strain of Aerospace Structures with FBG strain sensors -- ADRC flight control system design for flying wing UAV with high aspect ratio -- A prestrained bistable composite gridded structure -- Multidisciplinary multi-point optimization design of transport aircraft wing -- Temperature Analysis of Machine Tool Based on Numerical and Testing Methods -- Research on Sensorless Control of Permanent Magnet Synchronous Motor Based on Adaptive Gate Filter -- High-sensitivity and low-noise interrogation for spindle fault monitoring -- Design of Control System for Precision Parts Cleaning Equipment Based on PLC -- High-altitude airship propeller fluid-structure interaction solver -- Experimental Investigation on Frost Density and Thermal Conductivity under Cryogenic Condition -- Study on Effect of Single-tooth Radial Forging Process Parameters on Spline Shaft Forming -- Influence of friction on deformation characteristics in incremental sheet forming process.

Abstract: This book offers a comprehensive overview of the latest developments in unmanned aerial systems (UAS) technology and their potential applications. It covers a broad spectrum of topics related to UAS, such as Autonomy and Control, Flight Dynamic and Control, Communication and Navigation, Sensing and Perception, Design and Simulation, and Materials and Mechanics. The book is targeted toward a technical audience, including researchers, engineers, and practitioners working in the field of unmanned aerial systems. It provides an in-depth and detailed treatment of the subject matter, offering thorough discussions of the underlying principles and technical details of UAS technology.

Abstract: A Computational Aspect to Analyse Impact of Nutritional Status on the Development of Cardiovascular Diseases -- Vernacular Language Handwriting Recognition using Deep Learning Techniques -- FPGA Implementation of Efficient Softmax Architecture for Deep Neural Networks -- Multi-stage and multi-objective dynamic optimization-based scheduling of uncertain hybrid renewable energy systems with real-time energy compensation -- Design of Regenerative Snubber Circuit for Motor Drivers -- Clustering based multi-objective stochastic optimization approach in scheduling optimal energy dispatch of multiple energy sources in the presence of uncertainty -- Unfalsified Adaptive Control of a Robotic System -- Semi-Active Control for Seismic Vibration Mitigation of Building System with Magnetorheological Damping Device -- Relative Ageing of Population and Subpopulations in Proportional Reversed Hazard Frailty Models -- Handwritten Word Recognition in English Language -- Digital Image Watermarking Using Integer Wavelet Transform and Singular Value Decomposition -- Effect of Shallow Learning Techniques and Feature Selection for Breast Cancer Detection -- Design and Development of a Optimized Fast Transformation Module (OpFTM) for GAN Accelerator with Computation Efficiency -- A Meta-heuristic Optimized-based Classification Intrusion Detection System for BoT-IoT -- Fusion Spectrogram for Sound Classification Using 2D Convolutional Neural Network -- Design and Implementation of Garbage Detection and Classification Using YOLO-V5 -- Simulations towards design of Matching Layer in Acoustic Emission Sensor -- Virtual Impedance Based Advanced Droop Control for Improved Dynamic Power Sharing in Islanded Microgrid -- A Parallel Signal Detector Approach for Detection of Human Activities Using Multiple Seismic Sensors -- Study of Dielectric Characteristics of Forsterite Based Medical Implant -- Performance Evaluation and Assessment of 100kW Grid Tied SPV System in Subtropical Climatic Conditions -- Analysis and Experimental Validation of SPWM and SVPWM Techniques on Two-level Three-phase VSI -- Performance Analysis of Fuzzy Logic with P&O MPPT for Grid Connected Solar PV System under Varying Solar Irradiance -- Switched-Boost-Modified Z-Source Inverter for Renewable Energy Application -- Vibration Energy Harvester using piezoelectric with truncated cone rectangular beam structure for low power applications.

Abstract: This book presents the select peer-reviewed proceedings of the 2nd International Conference on Emerging Electronics & Automation (E2A) 2022. The proceedings aim to provide the reader with a view of the latest scientific efforts and achievements of the participants in the emerging fields including instrumentation, control, signal processing, communication, and associated computational techniques. It covers diverse fields of electronics, computation, automation, microelectronic technology, nanomaterials, and biomedical engineering applications. This volume will be of interest to those in academia and industry.

Abstract: Polynomial-based Guidance Law Design for Various Target Motions -- Air Combat Agent Construction Based on Hybrid Self-play Deep Reinforcement Learning -- Analysis of Distributed Cross-Domain Anti-Sea Combat Command and Decision-Making Capability Enhancement -- Distributed Bee Actor-Critic Algorithm: An Approach for Intelligent Wargaming -- Research on a Low Interception Directional Modulation Technology -- Spaceborne Sea Ice Edge Detection Using TechDemoSat-1 GNSS-R Signals -- A Development Route of the Information System facing the Threat of Hypersonic Technology -- An Analysis Method of Target Value Considering Combat Phases -- Military Deception Identification Method Based on Multi-criteria Decision Analysis -- Technical Exploration of High-resolution Optical Detection System for Ultra-low Orbit.

Abstract: This book presents a selection of peer-reviewed research papers that were originally presented at the 11th China Conference on Command and Control (C2 2023), held in Beijing, China, on October 24–25, 2023. The book covers a wide range of topics related to intelligent command and control, including Theories, Modeling and Simulation, System Engineering Technology, 5G and Intelligent Command, Control and Management Integration Technology, Joint Cooperative Command and Control Organization Management, Agility in the Network Age, Cyberspace Situational Awareness Technology, CPS Parallel Management and Control, Unmanned Systems, Intelligent Military Camp Technology, Architecture Design for Intelligent Air Traffic Control Systems, Human–Machine Interaction and Virtual Reality, Swarm Intelligence and Cooperative Control, and Intelligent Gaming Theory and Technology. The research presented in this book offers the latest insights into theories, algorithms, and applications in command and control. As such, it is an essential resource for researchers, engineers, and university students interested in this field. By bringing together cutting-edge research from leading scholars in the field, this book provides a comprehensive overview of the latest advances in command and control, making it a valuable asset for anyone seeking to deepen their understanding of this important subject.

Abstract: Introduction -- Preliminaries of Sliding Mode Control, Graph Theory, and Multi-agent System -- Design of Continuous-time Sliding Mode Protocol for Formation of 6-DOF Quadcopter Swarm -- Design of Discrete-time Sliding Mode Protocol for Formation of 6-DOF Quadcopter Swarm -- Design of Discrete-time Higher-order Sliding Mode Protocol for Formation of 6-DOF Quadcopter Swarm.

Abstract: This book presents several robust sliding mode protocols for achieving the formation and tracking of Quadcopter swarm for a given pattern. In entire book, the concept of leader-follower formation control of a multi-agent system is exploited for deriving the protocols and the graph theory is used to represent the communication between the Quadcopters. The book covers two types of formation protocols of the Quadcopter swarm namely, continuous-time sliding mode protocols and discrete-time sliding mode protocols. First, the continuous-time higher order sliding mode protocols using super-twisting algorithm are designed for formation using linear and non-linear models of Quadcopter. Then, the discrete-time sliding mode protocols using power rate reaching law, discrete-time super twisting algorithm, and exponential reaching law are presented. The protocols are thoroughly analysed for robustness, chattering, control effort, and convergence time for achieving the formation. Also, the stability conditions using the Lyapunov function are derived to ensure the stability of the swarm with each protocol. Further, each chapter includes extensive simulation and comparative studies to show the efficacy of each protocol. The book will be useful to graduate students, research scholars, and professionals working in the domain of civilian and military usage of the drone technology.

Abstract: Chapter 1. Active Disturbance Rejection Control of Carrier-based Aircraft with High Angle of Attack Research Based on Trajectory Optimization -- Chapter 2. Simulation and Performance Test of Large Thrust Ducted Fan -- Chapter 3. A Data-driven Linear Model for Flexible Vehicles Based on Koopman Operator -- Chapter 4. UAV Path Planning Method for Key Target Reconnaissance Mission -- Chapter 5. Study on the Stability of Spring Valve Considering the Inlet Pipeline -- Chapter 6. UAV formation control based on multi-strategy search improved pigeon-inspired optimization -- Chapter 7. Airworthiness Technology: The Key for the Development and Application of Civilian Unmanned Aircraft Systems -- Chapter 8. A Frequency Domain System Identification Toolbox for Aircraft and Rotorcraft -- Chapter 9. Measurement information consensus based distributed estimation of unknown source by using mobile sensor networks -- Chapter 10. Path planning and composite attitude control for a satellite with 2-DOF large-inertia turntable -- Chapter 11. An improved Cubature Kalman Filter-based optoelectronic tracking method -- Chapter 12. Autonomous Landing of a Low-Cost Quadrotor on a Moving Target -- Chapter 13. Reentry trajectory planning based on proximal policy optimization -- Chapter 15. Investigation and Applications of Multi-species Numerical Method Based on NNW-FlowStar, etc.

Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.

Abstract: Chapter 1. Robust Neural Control for Distributed Formation of UAVs under Uncertain Disturbances -- Chapter 2. Conception of Foreign Heterogeneous Electronic Warfare UAV Cross Domain Cooperative Operations -- Chapter 3. A Denoising Algorithm of Star Map Based on Wavelet Transform and Double-window Combined Filtering -- Chapter 4. UAV Path Planning under Multiple Threats Based on Improved Sparrow Search -- Chapter 5. Distance-constrained Multi-agent Formation Sliding Mode Control under External Disturbances -- Chapter 6. A Multi-UAV Pursuit Strategy Based on Two-Stage Collaborative Search -- Chapter 7. Multi Unmanned Aerial Vehicle Collaborative Hunting Task Allocation Method by Improved Consensus-based Bundle Algorithm -- Chapter 8. Integrated Morphing Strategy and Trajectory Optimization of a Morphing Waverider Based on An Improved Artificial Bee Colony Algorithm -- Chapter 9. Consensus of discrete-time multi-agent systems with unknown but bounded measurement noises -- Chapter 10. Rotary UAVpath planning in rough terrain based on multiple objective SA-PSO optimization, etc.

Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.

Abstract: Chapter 1. A personalized ramp merging decision-making method for autonomous driving based on reverse reinforcement learning -- Chapter 2. An adaptive cruise hybrid control method for unmanned driving -- Chapter 3. Dynamic Quantitative Analysis for Large Scale Skid-steered UGV -- Chapter 4. An Optimization-based Path Planning Method for Unmanned Systems in Multi-obstacle Environments -- Chapter 5. An adaptability-based terrain costmap for heterogeneous vehicle swarm path planning -- Chapter 6. Attention encoder-decoder network based autonomous risk driving identification for connected heavy-duty vehicles -- Chapter 7. Loosely-coupled Camera-IMU-OGS fusion Localization -- Chapter 8. Multi-sensing pedestrian detection method based on an improved EPNet -- Chapter 9. Abrupt Lane Change Recognition Model Towards Autonomous Vehicle based on Lane Line Inclination -- Chapter 10. Path-oriented Green Wave Speed Control Model Towards Autonomous Vehicle, etc.

Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.

Abstract: Chapter 1. Collision-Free UAV Flocking System with Leader-guided Cucker-Smale Reward Based on Reinforcement Learning -- Chapter 2. A Task Allocation Algorithm of Loitering Munition Group for Regional Blockade based on Event-driven -- Chapter 3. Research on the Dilemma and Strategy of Training Applied Talents in UAV Specialty -- Chapter 4. Design and Implementation of Terrain following Algorithm for Cruise Missile -- Chapter 5. Task Assignment Algorithm for Unmanned Systems Based on Step Clustering Ant Colony -- Chapter 6. A Neural Network-Based Adaptive Dynamic Surface Control for Nonlinear Systems in Strict-Feedback Form with Input Constraints -- Chapter 7. TAMPI: A Time-Aware Multi-Perspective Interaction Framework for Temporal Knowledge Graph Completion -- Chapter 8. Lightweight Multimodal Fusion for Autonomous Navigation via Deep Reinforcement Learning -- Chapter 9. A Scalable Multi-Agent Reinforcement Learning Approach Based on Value function Decomposition -- Chapter 10. A GeneralizableAutonomous Maneuvering Decision-Making Method for UCAV Air Combat Combining PER-D3QN and Zero-Sum Markov Game, etc.

Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.

Abstract: Chapter 1. Improved Factor Graph Algorithm for Adaptive Weight Function Based on Residual Adjustment -- Chapter 2. Design of Dual-rotor Vehicle Controller Based on Auto Disturbance Rejection -- Chapter 3. SLAM Loopback Detection and Down Sampling Optimization in Unattended Patrol Environment -- Chapter 4. OC-DWA: an improved dynamic window approach for USV online planning considering ocean currents -- Chapter 5. A Lightweight RGB-D Image-Based 3D Object Detector for Mobile Robots -- Chapter 6. Adaptive Control of Path Tracking Based on Improved Pure Pursuit Algorithm -- Chapter 7. LuoJia-Explorer: Unmanned Collaborative Localization and Mapping System -- Chapter 8. An effectiveness evaluation methodology of reconnaissance/strike UAV formation based on OODA -- Chapter 9. Fast Autonomous Exploration with Sparse Topological Graphs in Large-Scale Environments -- Chapter 10. LiDAR-based small-sized obstacles detection for mobile robot, etc.

Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.

Abstract: Chapter 1. An AUV Docking Approach based on Image-based Visual-Servoing and Modified Super-Twisting Sliding Mode Control -- Chapter 2. Time and Energy Optimal Path Planning of USV under Time-Varying Ocean Currents -- Chapter 3. Comparative study on wave disturbance prediction methods for the modeling of maneuvering motion -- Chapter 4. Simulation Technology of Unmanned Surface Vehicle Cluster Based on Digital Modeling -- Chapter 5. An improved YOLOv5 approach for multi-object detection of unmanned surface vehicles -- Chapter 6. Improvement of bacterial foraging algorithm for heading control of Unmanned Surface Vessel -- Chapter 7. Research on performance boundary test scenario clustering generation method for ship autonomous collision avoidance algorithm -- Chapter 8. Design of Course Controller for Unmanned Surface Vehicles Considering Complex Environment Interference -- Chapter 9. Variable structure water-air amphibious trans-media vehicle concept design and characteristic analysis -- Chapter 10. Underwater small target detection based on improved YOLOv7, etc.

Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.

Abstract: Chapter 1. Cooperative Transmit Resource Scheduling Algorithm for Asynchronous Tracking in Heterogeneous Multiple Distributed Radar Networks with Imperfect Detection -- Chapter 2. Joint Detection Threshold and Dwell Time Optimization for Target Tracking in Radar Networks -- Chapter 3. An Accurate and Robust Effectiveness Evaluation Method for an Unmanned Swarm in Performing a Specific Task -- Chapter 4. Multi-UAV collaborative search strategy based on improved genetic algorithm -- Chapter 5. Joint Beamforming and Power Allocation in a MIMO Radar Network with Per-Antenna Power Control -- Chapter 6. Intelligent Trajectory Planning Algorithm for Unmanned Aerial Vehicles Based on Track Deception against Radar Networks -- Chapter 7. Maneuvering Multi-Target Tracking based on DLSTM and Dynamic Association Gate -- Chapter 8. A DNN-Based GLMB Algorithm for Multi-Sensor Multi-Target Tracking with Dense Group Clutter -- Chapter 9. Efficient Multiple Extended Target Tracking Based on MinimumSpanning Tree -- Chapter 10. Improved Adaptive Sliding Mode Cooperative Guidance Law with Multi-constraints, etc.

Abstract: This book includes original, peer-reviewed research papers from the 3rd ICAUS 2023, which provides a unique and engaging platform for scientists, engineers and practitioners from all over the world to present and share their most recent research results and innovative ideas. The 3rd ICAUS 2023 aims to stimulate researchers working in areas relevant to intelligent unmanned systems. Topics covered include but are not limited to: Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and their Application in Unmanned Systems. The papers presented here share the latest findings in unmanned systems, robotics, automation, intelligent systems, control systems, integrated networks, modelling and simulation. This makes the book a valuable resource for researchers, engineers and students alike.

Abstract: This book presents selected peer reviewed articles from the International Conference on Intelligent Manufacturing and Robotics (ICIMR 2023) held on 22-23 August at the Xi’an Jiaotong-Liverpool University in China. The book deliberates on the key challenges, engineering and scientific discoveries, innovations, and advances in intelligent manufacturing and robotics that are non-trivial through the lens of Industry 4.0. In this book, traditional and modern solutions that are employed across the spectrum of various intelligent manufacturing and robotics contexts are discussed. The book provides an insightful view on the current trends, issues, mitigating factors as well as proposed solutions.

Abstract: Introduction -- Consensus under Event-Triggered Transmission and Quantization -- Consensus under Limited Information Communication -- Consensus under Switching Topology and Observer Information -- Tracking under Measurable and Unmeasurable State Information -- Tracking under Saturated Finite Interval and HNN-Structural Output -- Tracking Based on Discontinuous Learning Control Strategy -- Finite-iteration Learning Tracking with Packet Losses -- Finite-Iteration Learning Tracking with FlexRay Communication Protocol -- Multi-layered Sampled-data Tracking under Cooperative-Antagonistic Interactions -- Stability of Multilayer Supply Chain Networks with Constraints -- Security of Network Systems under Cyber-Attack.

Abstract: This book focuses on the subject area of Network Systems and Control Theory, providing a comprehensive examination of the dynamic behavior of networked systems operating under communication constraints. It introduces innovative iterative learning control strategies that aim to ensure stability, consistency, and security of networked systems. The field of networked systems has garnered significant interest from scientists and engineers across various disciplines, including information, electrical, transportation, life, social, and management sciences. This book consistently addresses a wide range of issues related to networked systems, emphasizing the critical impact of communication constraints on stability and security. It highlights the effectiveness and importance of iterative learning methods in tackling these challenges. Suitable for both undergraduate and graduate students interested in networked systems and iterative learning control, this book also serves as a valuable resource for university faculty and engineers engaged in complex systems, control theory research, and real-world applications. Its broad appeal extends to professionals working in related fields, seeking a deeper understanding of networked systems and their control mechanisms.

Abstract: This book presents the select peer-reviewed proceedings of the Control Instrumentation and System Conference (CISCON 2022) held at Manipal Institute of Technology, MAHE, Manipal. It examines a wide spectrum covering the latest trends in the fields of instrumentation, sensors and systems, and industrial automation and control. The topics covered include image and signal processing, robotics, renewable energy, power systems, and power drives, performance attributes of MEMS, multi-sensor data fusion, machine learning, optimization techniques, process control, safety monitoring, safety-critical control, supervisory control, system modeling and virtual instrumentation. The book is a valuable reference for researchers and professionals interested in sensors, adaptive control, automation and control, and allied fields.

Abstract: Chapter 1. Process parameters optimization by Taguchi method and Whale optimization algorithm of Lathe turning on EN24 steel for prediction of surface roughness -- Chapter 2. Optimization of TWR and SR of superalloy Al/9.6B4C in EDM using advanced optimization techniques -- Chapter 3. Simulation and comparative analysis of sardar sarovar reservoir by meta-heuristic algorithm -- Chapter 4. Determination of Thickness and Refractive Index of Antireflection Coating Thin-Films from Reflectivity Spectrum using Jaya Optimization Algorithm -- Chapter 5. Optimization of worm gear drive for improving efficiency using RCGA -- Chapter 6. Comparing a Parameter Less Technique Jaya with Parameters Based Evolutionary Algorithms -- Chapter 7. Optimal Sizing of PV/Wind/Battery stand-alone hybrid renewable energy system using TLBO algorithm -- Chapter 8. MOJAYA optimization of machining parameters coupled with R-method for the generation of micro holes on GFRP composite using an in-house developed µ-ECDM system -- Chapter 9. Enhanced Fruit Fly Optimization Algorithm for Node Capture Attack in WSN -- Chapter 10. Optimization of Construction Scheduling with Rao Algorithm -- Chapter 11. Using Meta-Heuristic Optimization Methods in Solving Time-Cost-Quality Trade-off Problems -- Chapter 12. A Particle Swarm Optimization based model for Quality, Safety trade-off optimization under constraint duration and cost of construction project -- Chapter 13. Optimum design of pipe network using Rao algorithm -- Chapter 14. Multi-Objective Thermal Exchange Optimization for Truss structure -- Chapter 15. Shape optimization of structures considering varying geometrical and material parameters.

Abstract: This book comprises peer-reviewed papers presented at the International Conference on Advanced Engineering Optimization Through Intelligent Techniques (AEOTIT) 2022. The book combines contributions from academics and industry professionals and covers advanced optimization techniques across all major engineering disciplines like mechanical, manufacturing, civil, automobile, electrical, chemical, computer, and electronics engineering. The book discusses different optimization techniques and algorithms such as genetic algorithm, non-dominated sorting genetic algorithm-II, and III, differential search, particle swarm optimization, fruit fly algorithm, cuckoo search, teaching–learning-based optimization algorithm, grey wolf optimization, Jaya algorithm, Rao algorithms, and many other latest meta-heuristic techniques and their applications. Various multi-attribute decision-making methods such as AHP, TOPSIS, ELECTRE, PROMETHEE, DEMATEL, R-method, fuzzy logic, and their applications are also discussed. This book serves as a valuable reference for students, researchers, and practitioners and helps them in solving a wide range of optimization problems.

Abstract: Chapter 1. A CNN-based Approach for Facial Emotion Detection -- Chapter 2. Implementation of Artificial Neural Network for Demanufacturing Operation in the Rail Industry -- Chapter 3. Diversified Recommendation Generation using Graph Convolution Neural Network -- Chapter 4. Brain Tumor detection with GLCM feature extraction and hybrid classification approach -- Chapter 5. Optimization of an inventory model with selling price and stock sensitive demand along with trade credit policy -- Chapter 6. A new family of generalized Euler-Genocchi polynomials associated with Hermite polynomials -- Chapter 7. 6G-Enabled Internet of Medical Things -- Chapter 8. An Inductively Degenerated LNA for ISM Applications: Design & Performance Comparison -- Chapter 9. Prostate Cancer Risk Analysis Using Artificial Neural Network -- Chapter 10. On two bivariate kinds of (p; q)-Euler polynomials -- Chapter 11. Different stages of Watermelon Diseases Detection Using optimized CNN -- Chapter 12. Machine Learning: An Analytical Approach for Pattern Detection in Diabetes -- Chapter 13. A Dynamic Weighted Federated Learning for Android Malware Classification -- Chapter 14. Entropy measure for the linguistic q-rung orthopair fuzzy set -- Chapter 15. Empirical Analysis of Unsupervised Link Prediction Algorithms in Wighted Networks.

Abstract: This book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and health care, to supply chain management, image processing and cryptanalysis. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2022), held at University Institute of Technology, Himachal Pradesh University Shimla, Himachal Pradesh, India. The book offers valuable insights into soft computing for teachers and researchers alike; the book inspires further research in this dynamic field.

Abstract: Exponential stability and L1-gain analysis -- Stability and stabilization -- L1-gain and control synthesis -- Finite-time L1 control -- L1 control -- L∞ control -- Robust finite-time stabilization -- Fault detection -- Stochastic stability and L1-gain analysis -- Positive L1 observer design -- Filter design -- Conclusions and future research direction.

Abstract: The book focuses on analysis and design for positive stochastic jump systems. By using multiple linear co-positive Lyapunov function method and linear programming technique, a basic theoretical framework is formed toward the issues of analysis and design for positive stochastic jump systems. This is achieved by providing an in-depth study on several major topics such as stability, time delay, finite-time control, observer design, filter design, and fault detection for positive stochastic jump systems. The comprehensive and systematic treatment of positive systems is one of the major features of the book, which is particularly suited for readers who are interested to learn non-negative theory. By reading this book, the reader can obtain the most advanced analysis and design techniques for positive stochastic jump systems.

Abstract: Introduction -- Event-Triggered Schemes for Leader-Following Consensus of Multi-Agent Systems -- An Impulsive Framework for Event-Triggered Consensus Analysis: The Clustered Case -- A Layered Event-Triggered Consensus Scheme for Multi-Layered Directed Network Topology -- Distributed Edge Event-Triggered Consensus Protocol of Multi-agent Systems with Communication Buffer -- Adaptive Dynamic Event-Triggered Scheme for General Linear Multi-Agent Systems -- Fully Distributed Self-Triggered Control for Second-order Consensus of Multiagent Systems -- Distributed Secure Cooperative Control under Denial-of-Service Attacks from Multiple Adversaries -- Resilient Event-Triggered Control Strategies for Second-order Consensus under Replay Attacks.

Abstract: The book provides a systematic and in-depth introduction to distributed event-triggered cooperative control for multi-agent systems from a theoretical perspective, which will be of particular interest to the readers. The included major research topics include: a unified design and analysis framework for centralized, clustered and distributed event-triggered schemes; fully distributed design for event/self-triggered schemes; resilient event-triggered control under malicious attacks; and various methods to aovid Zeno behavior. The comprehensive and systematic treatment of event-triggered communication and control in multi-agent system is one of the major features of the book, which is particularly suited for readers who are interested in learning principles and methods to deal with communication constraints in multi-agent systems and to design energy-saving control protocols. The book can benefit researchers, engineers, and graduate students in the fields of complex networks, smart grids, applied mathematics, electrical and electronic engineering, and computer engineering, etc.

Abstract: Chapter 1. Energy and Thermal Comfort Integrated Control of Vehicles -- Chapter 2. Battery Management System of Electric Vehicle -- Chapter 3. Vehicle speed prediction in multi-dimensional domain -- Chapter 4. Eco-driving Behavior of Automated Vehicle -- Chapter 5. Service Planning and Operation for Autonomous Valet Parking -- Chapter 6. Mining Passenger Regional Mobility in Ile-de-France using Multiple Data Sources -- Chapter 7. Grid Optimal Integration of Electric Vehicles: Vehicle-to-grid scheduling strategy -- Chapter 8. Artificial Intelligence for optimization bi-directional V2G behaviors -- Chapter 9. Local energy trading with EV flexibility -- Chapter 10. Communication and Networking in Internet of Vehicles -- Chapter 11. The Overview of Non-orthogonal Multiple Access in Vehicle-to-Vehicle Communication -- Chapter 12. Trust Management for Internet of Vehicles -- Chapter 13. Instruction Detection of In-Vehicle Networks -- Chapter 14. Security and Privacy-Preserving for Automated Electric Vehicle.

Abstract: This book focuses on the design, informatics, and energy sustainability of automated and electric vehicles. Both principles and engineering practice have been addressed, from design perspectives toward informatics enabled transport service operation including automated valet parking and charging use cases. This is achieved by providing an in-depth study on a number of major topics such as battery management, eco-driving system, telecommunications, transport and charging services, cyber-security, etc. The book benefits researchers, engineers, and graduate students in the fields of the intelligent transport system, telecommunication, cyber-security, and smart grids.

Abstract: Intelligentized technologies for robotic welding -- Advanced welding robot technologies -- Programming and simulation of welding robots -- Vision guiding and tracking technologies of welding robots -- Quality control of robotic welding -- Tele-control and network technologies for robotic welding -- Sensing technologies for welding process -- Robotic welding under special environment -- Intelligentized and digital welding equipments -- Intelligentized technologies for industrial process.

Abstract: The primary aim of this volume is to provide researchers and engineers from both academic and industry with up-to-date coverage of new results in the field of robotic welding, intelligent systems and automation. The book is mainly based on papers selected from the 2020 International Conference on Robotic Welding, Intelligence and Automation (RWIA’2020) in Shanghai and Lanzhou, China. The articles show that the intelligentized welding manufacturing (IWM) is becoming an inevitable trend with the intelligentized robotic welding as the key technology. The volume is divided into four logical parts: Intelligent Techniques for Robotic Welding, Sensing of Arc Welding Processing, Modeling and Intelligent Control of Welding Processing, as well as Intelligent Control and its Applications in Engineering.

Abstract: Chapter 1: Introduction -- Chapter 2 Predictive Learning Control for Unknown Systems -- Chapter 3 Constrained Predictive Learning Control -- Chapter 4 Predictive Learning Control for Systems with Varying Trial Lengths -- Chapter 5 Predictive Learning Control for Systems with Unknown Time Delay -- Chapter 6 Predictive Learning Control for Systems with Full Available States -- Chapter 7 Predictive Learning Control for Systems with Unavailable States -- Chapter 8 High-Speed Train Automatic Operation Systems -- Chapter 9 Fundamental Two-Region Urban Road Networks -- Chapter 10 Complex Large-Scale Multi-Region Urban Traffic Systems -- Chapter 11 Conclusions.

Abstract: This book investigates both theory and various applications of predictive learning control (PLC) which is an advanced technology for complex nonlinear systems. To avoid the difficult modeling problem for complex nonlinear systems, this book begins with the design and theoretical analysis of PLC method without using mechanism model information of the system, and then a series of PLC methods is designed that can cope with system constraints, varying trial lengths, unknown time delay, and available and unavailable system states sequentially. Applications of the PLC on both railway and urban road transportation systems are also studied. The book is intended for researchers, engineers, and graduate students who are interested in predictive control, learning control, intelligent transportation systems and related fields.

Abstract: Chapter 1. Toward realization of innovative systems approach for societal design – Multiscale Social Modeling and Simulation (MSMS) methodology -- Chapter 2. Modelling-Driven Optimization Problems with Uncertainty Tolerance and Their Solution Strategies: A Risk-Management Perspective in the Circulating and Spiral-up Systems Approach -- Chapter 3. Issues of System Cooperation from a Viewpointof System Structure -- Chapter 4. Boundary and Relationality Perspective Systems Approach –Towards Its Development -- Chapter 5. Relationality Design Emphasizing Clinical Aspects of System of Systems in Local Community -- Chapter 6. Black-Box Optimization and Its Applications -- Chapter 7. Estimation of objective functions: Modelling of problems and understanding of decision-making processes towards the spiral-up systems approach -- Chapter 8. Co-evolutionary decision-making modeling via integration of machine learning and optimization -- Chapter 9. Agent Modeling, Gaming Simulation, and Their Formal Description -- Chapter 10. Causal and deductive reasoning in socio-economic systems -- Chapter 11. Co-Creative Modeling as Adaptive Decision-Making Process -- Chapter 12. Mutual Growth of Human and System in Smarter World -- Chapter 13. Towards SoS Evolution Management for Developing Smarter Cities–Social Significance and Approaches -- Chapter 14. Power System Progressing with Systems Approach -- Chapter 15. Power Network System Technology ―A Focus on SoS -- Chapter 16. Systems of Systems in Railway -- Chapter 17. Current and Future Trends on Smart Home Technology –Including SoS Perspective.

Abstract: This book introduces state-of-the-art concepts and methodologies on innovative systems approach that enables the grand design and implementation about Smarter World. This book also describes the shared view that the various heterogeneous social systems that make up Smarter World should be viewed as systems at an abstract level, and develop new developments in SoS and spiral systems through the cycle of analysis, synthesis and abduction. Several new concepts that integrate data-driven mechanism into traditional model-driven methodologies in systems approach are explained with practical applications. As such, it offers a valuable resource for systems engineers, system integrators, and researchers in related engineering fields, as well as government policymakers.

Abstract: Introduction -- Adaptive mixed edge detection of furnace flame image -- Intelligent flame image segmentation of furnace flame image -- Reconstruction of temperature field based on limited flame image information -- Furnace temperature prediction based on optimized kernel extreme learning machine -- Process modeling of power plant -- Fuzzy K-means network based generalized predictive control for power plant -- Deep-neural-network based nonlinear predictive control for power plant -- Intelligent virtual reference feedback tuning based data driven control for power plant.

Abstract: The authors' innovative research ideas in power plant control are presented in this book. This book focuses on 1) cognition and reconstruction of the temperature field; 2) intelligent setting and learning of power plants; 3) energy efficiency optimization and intelligent control for power plants, and so on, using historical power plant operation data and creative methods such as reconstruction of the combustion field, deep reinforcement learning, and networked collaborative control. It could help researchers, industrial engineers, and graduate students in the areas of signal detection, image processing, and control engineering.

Abstract: Introduction -- Technical Background -- Anchor-Based Flexible Fleet Maneuvering -- Map-Based Virtual-Structure Fleet Maneuvering in Cluttered Environments -- Vision-Based Leader-Follower Queue Maneuvering in Unknown Cluttered Environments -- Vision-Based Flexible Fleet Maneuvering in Unknown Cluttered Environments -- Map Matching Based Leader-Follower Path Retracing in Infrastructure-Free Environments -- Multi-UAV Optimal Fleet Flying for Air Patrol in Constrained Environments -- Conclusion.

Abstract: This book presents theoretical foundations and technical implementation guidelines for multi-vehicle fleet maneuvering, which can be implemented by readers and can also be a basis for future research. As a research monograph, this book presents fundamental concepts, theories, and technologies for localization, motion planning, and control of multi-vehicle systems, which can be a reference book for researchers and graduate students from different levels. As a technical guide, this book provides implementation guidelines, pseudocode, and flow diagrams for practitioners to develop their own systems. Readers should have a preliminary knowledge of mobile robotics, state estimation and automatic control to fully understand the contents in this book. To make this book more readable and understandable, extensive experimental results are presented to support each chapter.

Abstract: Introduction -- Mathematical Preliminaries -- PDE Modeling for Flexible Manipulator -- Boundary Control Using Singular Perturbation Approach -- Robust boundary control of an axially moving system -- Adaptive boundary control of an axially moving system with high acceleration/deceleration -- Adaptive boundary control of an axially moving belt system with high acceleration/deceleration -- Boundary control of an axially moving accelerated/decelerated -- Stabilization of anaxially moving accelerated/decelerated system -- Adaptive output feedback boundary control -- Vibration control and boundary tension constraint of an axially moving string system -- Boundary Control for an Axially Moving System With Input Restriction Based on Disturbance Observers -- Adaptive Neural Network Vibration Control for an Output-Tension-Constrained Axially Moving Belt System With Input Nonlinearity -- Conclusion.

Abstract: The main objectives of the book are to introduce the design method of boundary control strategies for the axially moving structures to reduce their vibration. This book provides the reader with a thorough grounding in the boundary controller design. Our goal is to provide advanced boundary controller design methods and their stability analysis methods and offer simulation examples and MATLAB programs for each boundary control algorithm. For each chapter, several engineering application examples are given and the contents of each chapter in this book are independent, so that readers can just read their own needs. In this book, all the control algorithms and their programs are described separately and classified by the chapter name, which can be run successfully in MATLAB. The book can benefit researchers, engineers, and graduate students in the fields of PDE modeling and boundary vibration control of flexible structures.

Abstract: Chapter 1 Introduction -- Chapter 2 Control Design of Nonlinear Systems with Constant Gain -- Chapter 3 Finite Time Control of Nonlinear Systems with Time-Varying Gain -- Chapter 4 Event-Triggered Control of Nonlinear Systems with Functional Gain -- Chapter 5 Control Design of Strict-Feedback Nonholonomic Systems -- Chapter 6 Output Feedback Control of Large-Scale Nonlinear Systems -- Chapter 7 Distributed Control of Nonlinear Multi-Agent Systems.

Abstract: This book describes the research progress of the control design about strict-feedback nonlinear systems. A novel gain control design method is proposed, which greatly simplifies the construction procedure of controller for strict-feedback nonlinear systems. The control design problem of strict-feedback nonlinear systems is converted into the determination problem of gain parameters or the construction of dynamic gain equations. Therefore, the tedious iterative design procedure is effectively avoided. This book can be used as a reference for researchers in the field of control theory and engineers seeking advanced methods in practical control applications.

Abstract: Chapter 1 Introduction -- Chapter 2 Modeling of Mobile Wheeled Inverted Pendulums -- Chapter 3 Disturbance-Observer-Based Sliding Mode Control for Mobile Wheeled Inverted Pendulum Systems -- Chapter 4 Sliding Mode Variable Structure Based Chattering Avoidance Control for Mobile Wheeled Inverted Pendulums -- Chapter 5 Interval Type-2 Fuzzy Logic Control of Mobile Wheeled Inverted Pendulums -- Chapter 6 Experiments of Controlling Real Mobile Wheeled Inverted Pendulums -- Chapter 7 Conclusion.

Abstract: This book presents the achievements of the author's team in the research of a special underactuated system called mobile wheeled inverted pendulum (MWIP) developed over recent years. It focuses on a combination of theory and practice, and almost all algorithms are verified on the real MWIP system. Taking the dynamic modeling, control, and simulation as the mainline, this book first introduces the particularity, control challenges, and applications of the MWIP system. Then, Lagrange function is adopted to model the dynamics of two-dimensional and three-dimensional MWIP systems. Then, based on the special characteristics of the MWIP’s dynamics, a new high-order disturbance observer is designed, and a control strategy is proposed by combining the high-order disturbance observer with a novel design of sliding mode manifold. Furthermore, several methods to overcome the chattering problem of the traditional sliding mode control are presented in detail. Besides, some intelligent algorithms related to the interval type-2 fuzzy logic control are applied to the MWIP system. Finally, the future development of underactuated robot has been prospected. This book is intended for researchers and engineers in robotics and control. It can also be used as supplementary reading for nonlinear systems theory at the graduate level. The in-depth theory and detailed platform construction provide an excellent convenience for readers to build their platforms and learn the knowledge they need.

Abstract: A Survey of Relative Motion Dynamics and Control of Distributed Satellite Formation -- Determination Technology and Accuracy Analysis of Configuration Parameters of Ground System Dual Satellite Formation Based on Navigation Data -- UAV path planning based on improved GWO algorithm -- A Review on tracking control of the underactuated vessel with time delays -- A Multimodal Image Matching Algorithm Based on Structure Feature -- Full-scale Attitude Solution Based on Dual Euler Method -- Q-Learning Based Online Adaptive Flight Control for Fixed-Wing UAV.

Abstract: This book features the latest theoretical results and techniques in the field of guidance, navigation, and control (GNC) of vehicles and aircrafts. It covers a wide range of topics, including but not limited to, intelligent computing communication and control; new methods of navigation, estimation and tracking; control of multiple moving objects; manned and autonomous unmanned systems; guidance, navigation and control of miniature aircraft; and sensor systems for guidance, navigation and control etc. Presenting recent advances in the form of illustrations, tables, and text, it also provides detailed information of a number of the studies, to offer readers insights for their own research. In addition, the book addresses fundamental concepts and studies in the development of GNC, making it a valuable resource for both beginners and researchers wanting to further their understanding of guidance, navigation, and control.

Abstract: Simulation of Foot Movement during Walking Based on the Study of Different Step Parameters -- Mathematical Modeling of the Biomechanical Rehabilitation System of Foot Exoskeleton in Frontal and Sagittal Planes -- Simulation of Controlled Motion of the Actuator of Robotic Systems in the Presence of Coupling Forces -- Digital Control by Robot Manipulator with Improved Rigidity -- Performance Evaluation of Multigrid Brute Force Solutions of Inverse Kinematics Problem for the Robotis OP2 Humanoid Hand -- Neural Network Approach for Solving Inverse Kinematics Problem of Modular Reconfigurable Systems -- Algorithm of Trajectories Synthesis for Modular Wheeled Inspection Robot -- Study of Algorithms for Coordinating a Group of Autonomous Robots in a Formation -- Intelligent System for Countering Groups of Robots Based on Reinforcement Learning Technologies -- LIRS-MazeGen: An Easy-to-Use Blender Extension for Modeling Maze-Like Environments for Gazebo Simulator.

Abstract: This book introduces intellectual control systems and electromechanics of heterogeneous robots. The book uncovers fundamental principles of robot control and recent developments in software and hardware of robots. The book presents solutions and discusses problems of single robotic devices as well as heterogeneous robotic teams while performing technological tasks that require informational, physical or energetic interaction with human users, environment and other robots. The book considers model–algorithmic and software–hardware control of ground, water and underwater robots, unmanned aerial vehicles, as well as their embedded and attached sub-systems, including manipulators, end-effectors, sensors, actuators, etc. The book will be useful for researchers of interdisciplinary issues related to robotics, electromechanics and artificial intelligence. The book is recommended for graduate students with a major/minor in the areas of robotics and mechatronics, management in technical systems, Internet of Things, artificial intelligence, electrical engineering, mechanical engineering and computer science.

Abstract: Introduction -- Quantized sliding mode control -- Sliding mode control under stochastic disturbance.-Sliding mode control under stochastic disturbance and singularity -- Finite-time sliding mode control under quantization -- Adaptive event-triggered sliding mode control -- Finite-time synchronization -- Fuzzy sliding mode control -- Fuzzy H∞ sliding mode control under phase-type distribution -- Sliding mode control under denial-of-service attacks -- Sliding mode control under deception attacks -- Conclusion and future research direction.

Abstract: The book focuses on control synthesis for semi-Markovian switching systems. By using multiple semi-Markovian Lyapunov function approaches, a basic theoretical framework is formed toward the issue of control synthesis for semi-Markovian switching systems. This is achieved by providing an in-depth study on several major topics such as sliding mode control, finite-time control, quantized control, event-triggered control, synchronization, and fuzzy control for semi-Markovian switching systems. The comprehensive and systematic treatment of semi-Markovian switching systems is one of the major features of the book, which is particularly suitable for readers who are interested to learn control theory and engineering. By reading this book, the reader can obtain the most advanced analysis and design techniques for stochastic switching systems.

Abstract: Event-triggered control for nonlinear systems with stochastic dynamics, transmission instants and protocol -- Model-based controller -- Stability analysis of event-triggered nonlinear systems under stochastic DoS attacks -- Distributed optimization with network communication -- Distributed robust Nash equilibrium seeking for aggregative games under persistent attacks -- A distributed robust two-time-scale switched algorithm for constrained aggregative games -- Conclusions and perspectives.

Abstract: This book considers the problems of network-based control and optimization. As is known, network-based control has great advantages over traditional control systems because it may lead to easy installation and maintenance, low cost, and so on. Sometimes, network-based control is also necessary in many situations. For example, multi-agents may need to communicate with each other under wireless scenarios. On the other hand, the network may lead to some imperfect factors such as samplings, delays, transmission protocols, and packet losses. These factors may degrade the system performance and even lead to the instability of the control systems. This book aims at providing a modeling framework and analysis approach for the general nonlinear networked control systems based on the hybrid framework. The proposed results deal with very general nonlinear systems and help the readers understand the principle of nonlinear network-based control and optimization.

Abstract: Chapter 1. Intelligent Automation Framework using AI and RPA: An Introduction -- Chapter 2. Role of RPA in Intelligent Auditing -- Chapter 3. Impact of AI and RPA in Banking -- Chapter 4. Robotic Process Automation: The key to Reviving the Supply Chain Processes -- Chapter 5. Intelligent Document Processing in end-to-end RPA contexts: a systematic literature review -- Chapter 6. Challenges in Banking and Solving them using RPA -- Chapter 7. Robotic Process Automation in Healthcare -- Chapter 8. Intellectual Property Management in Healthcare Using Robotic Process Automation during Covid-19 -- Chapter 9. RPA Revolution in the Healthcare Industry during COVID-19 -- Chapter 10. Importance of Artificial Intelligence (AI) and Robotic process automation (RPA) in the Banking Industry: A study from an Indian perspective -- Chapter 11. Integration of RPA and AI in Industry 4.0 -- Chapter 12. A Comprehensive Review on Artificial Intelligence (AI) and Robotic Process Automation (RPA) for the development of Smart Cities -- Chapter 13. The Existing IT Functions and Robotics Process Automation -- Chapter 14. RPA Adoption in Healthcare Application -- Chapter 15. Cognitive IoT meets Robotic Process Automation: The Unique Convergence revolutionizing Digital Transformation in the Industry 4.0 era -- Chapter 16. Confluence of Artificial Intelligence and Robotic Process Automation: Concluding Remarks. .

Abstract: This book provides a detailed insight into Robotic Process Automation (RPA) technologies linked with AI that will help organizations implement Industry 4.0 procedures. RPA tools enhance their functionality by incorporating AI objectives, such as use of artificial neural network algorithms, text mining techniques, and natural language processing techniques for information extraction and the subsequent process of optimization and forecasting scenarios for the purpose of improving an organization's operational and business processes. The target readers of this book are researchers, professors, graduate students, scientists, policymakers, professionals, and developers working in the IT and ITeS sectors, i.e. people who are working on emerging technologies. This book also provides insights and decision support tools necessary for executives concerned with different industrial and organizational automation-centric jobs, knowledge dissemination, information, and policy development for automation in different educational, government, and non-government organizations. This book is of special interest to college and university educators who teach AI, machine learning, blockchain, business intelligence, cognitive intelligence, and brain intelligence courses in different capacities.

Abstract: Introduction -- Linear Time Series Modeling -- Deep Learning AI Modeling -- LSTM AI Modeling -- Optimal Control by Time-Series AI Model -- The Reality of Time Series Learning Data Collection -- Practical Work on Time Series AI Modeling.

Abstract: This book describes the practical application of artificial intelligence (AI) methods using time series data in system control. This book consistently discusses the application of machine learning to the analysis and modelling of time series data of physical quantities to be controlled in the field of system control. Since dynamic systems are not stable steady states but changing transient states, the changing transient states depend on the state history before the change. In other words, it is essential to predict the change from the present to the future based on the time history of each variable in the target system, and to manipulate the system to achieve the desired change. In short, time series is the key to the application of AI machine learning to system control. This is the philosophy of this book: "time series data" + "AI machine learning" = "new practical control methods". This book can give my helps to undergradate or graduate students, institute researchers and senior engineers whose scientific background are engineering, mathematics, physics and other natural sciences.

Abstract: Introduction -- Modelling for Fault Diagnosis -- Observer-Based Residual Generation -- Robust Residual Generation Based on Unknown Input Observer -- Optimal Robust Residual Generation -- Residual Evaluation Based on Threshold Computation -- Fault Isolation Based on Structured Residual Generation -- Fault Isolation Based on Directional Residual Generation -- Observer-Based Fault Estimation -- Kalman Filter-Based Fault Diagnosis -- Parity Space Approaches.

Abstract: This book investigates in detail model-based fault diagnosis methods, including observer-based residual generation, residual evaluation based on threshold computation, observer-based fault isolation strategies, observer-based fault estimation, Kalman filter-based fault diagnosis methods, and parity space approach. Studies on model-based fault diagnosis have attracted engineers and scientists from various disciplines, such as electrical, aerospace, mechanical, and chemical engineering. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of state-space approach. The methods introduced in the book are systemic and easy to follow. The book is intended for undergraduate and graduate students who are interested in fault diagnosis and state estimation, researchers investigating fault diagnosis and fault-tolerant control, and control system design engineers working on safety-critical systems.

Abstract: Chapter 1. Introduction -- Chapter 2. Paradigm of model-based fault detection and diagnosis -- Chapter 3. LDTV systems, and fault detection and estimation for LDTV systems -- Chapter 4. Krein space and Krein space-based optimization technique -- Chapter 5. H2 optimization-based fault detection for LDTV systems -- Chapter 6. Optimal fault detection for LDTV systems -- Chapter 7. A projection-based method of fault detection for LDTV systems -- Chapter 8. An Hi/H∞-optimization scheme of fault detection for LDTV systems -- Chapter 9. An Hi/H∞-optimization approach to event-triggered fault detection for LDTV systems -- Chapter 10. A scheme of optimal fault detection for LDTV systems with delayed state -- Chapter 11. A krein space approach to H∞ fault estimation of LDTV systems -- Chapter 12. On designing H∞ fault detection filter for LDTV systems -- Chapter 13. Krein space based H∞ fault detection for LDTV systems with delayed state -- Chapter 14. Parity space-based fault detection for LDTV systems with unknown input -- Chapter 15. Parity space-based fault estimation for LDTV systems -- Chapter 16. Event-triggered parity space approach to fault detection for LDTV systems -- Chapter 17. Stationary wavelet transform aided fault detection for LDTV systems -- Chapter 18. An extended H-/H∞ optimization approach to fault detection for a class of nonlinear systems -- Chapter 19. Probability analysis of fault diagnosis performance for satellite attitude control systems -- Chapter 20. Hi/H∞ optimization based fault detection for INS/GPS-integrated systems -- Chapter 21. Krein space based H∞ fault estimation for discrete-time nonlinear systems -- Chapter 22. Adaptive in-flight alignment of INS/GPS systems for aerial mapping -- Chapter 23. On real time performance evaluation of the inertial sensors for INS/GPS integrated systems -- Chapter 24. Summary.

Abstract: This book focuses on fault diagnosis for linear discrete time-varying (LDTV) systems and its applications in modern engineering processes, with more weighting placed on the development of theory and methodologies. A comprehensive and systematic study on fault diagnosis for LDTV systems is provided, covering H∞-optimization-based fault diagnosis, H∞-filtering-based fault diagnosis, parity space-based fault diagnosis, Krein space technique-aided fault detection and fault estimation, and their typical applications in linear/nonlinear processes such as satellite attitude control systems and INS/GPS systems. This book benefits researchers, engineers, and graduate students in the fields of control engineering, electrical and electronic engineering, instrumentation science, and optoelectronic engineering.

Abstract: Stimulating the Export of Organic Products -- Risks in Animal Feeding and Digital Methods of Their Analysis -- Specific Approaches to Robotic Milking with Different Cow Movement Systems -- Fish-Breeding Technological Cadastre as a Mechanism for the Development of Aquaculture in the Kaliningrad Region -- Towards the Managed Transition to Organic Agriculture: Searching for a Strategic Model -- Smart Technologies in Bio-Intensive Organic Agriculture.

Abstract: This book includes selected papers from the Second International Conference on Agriculture Digitalization and Organic Production (ADOP 2022), held in St. Petersburg, Russia, during June 06–08, 2022. The topics covered in the book are ground robotic systems in crop production, unmanned aerial vehicles in crop production, aerospace monitoring tools in crop production, robotic animal husbandry, digitalization of technological processes of agricultural production, evaluation of the effectiveness of digital technologies for the production of organic products, rational nature management and ecology in agricultural production, technologies for the production of organic agricultural products, market analysis of organic agricultural products, and legal aspects of organic production.

Abstract: Part 1 Theories -- Chapter 1 Introduction -- Chapter 2 Kinematic modeling -- Chapter 3 Positioning error compensation using kinematic calibration -- Chapter 4 Error-similarity-based positioning error compensation -- Chapter 5 Joint space closed-loop feedback -- Chapter 6 Cartesian space closed-loop feedback -- Part 2 Chapter 7 Applications in robotic drilling -- Chapter 8 Applications in robotic milling.

Abstract: This book highlights the basic theories and key technologies of error compensation for industrial robots. The chapters are arranged in the order of actual applications: establishing the robot kinematic models, conducting error analysis, conducting kinematic and non-kinematic calibrations, and planning optimal sampling points. To help readers effectively apply the technologies, the book elaborates the experiments and applications in robotic drilling and milling, which further verifies the effectiveness of the technologies. This book presents the authors’ research achievements in the past decade in improving robot accuracy. It is straightforwardly applicable for technical personnel in the aviation field, and provides valuable reference for researchers and engineers in various robotic applications.

Abstract: This book features a collection of high-quality, peer-reviewed research papers presented at first ‘World Conference on Intelligent and 3-D Technologies’ (WCI3DT 2022), held in China during May 24–26, 2022. The book provides an opportunity for the researchers and academia as well as practitioners from industry to publish their ideas and recent research development work on all aspects of 3D imaging technologies and artificial intelligence, their applications, and other related areas. The book presents ideas and the works of scientists, engineers, educators, and students from all over the world from institutions and industries.

Abstract: Introduction -- Mathematical Modelling of Real Physical System -- Control Oriented Linear Fractional Transformation -- Synthesis Based H∞ Control Theory -- Generalized Control Oriented LFT Modelling of a Coupled Uncertain MIMO System -- Control-Oriented LFT Modelling of a Two-DOF Spring- Mass-Dashpot Dynamic System -- Control Oriented LFT Modelling and H∞ Control of Twin Rotor MIMO System -- Control Oriented LFT Modelling and H∞ Control of Differentially Driven Wheeled Mobile Robot -- Control Oriented LFT Modelling and H∞ Control of Differentially Driven Wheeled Mobile Robot with Slip Dynamics.

Abstract: This book covers a new paradigm of system modeling – the robust control-oriented linear fractional transformation (LFT) modeling. A dynamic system expressed in LFT modeling framework paves the way for the application of modern robust controller design technique like μ-synthesis method for controller design. This book covers the generalized robust control-oriented LFT modeling representation of the MIMO system depending upon the uncertainty structure, system dynamics, and the dimensions of the input–output. The modeling framework results into a compact and manageable representation of uncertainty modeling in the form of feedback-like structure that is suitable for design and implementation of the robust control technique like μ-synthesis-based H∞ control theory. This book also describes the application of the proposed methodology in a variety of advanced mechatronic systems like the Twin Rotor MIMO system, wheeled mobile robot, and an industrial robot arm.

Abstract: Industry 4.0 and 5.0 -- Robotics and Automation -- AI & Computational Intelligence -- Intelligent Manufactory -- Design and Optimization -- Product Life-cycle Management -- Advanced Manufacturing Systems -- Manufacturing Operations Management -- Smart Aquaculture Technology -- Knowledge Management and Decision Making -- Manufacturing Quality Control and Management -- Sustainable Production -- Diagnosis and Prognosis of Machines -- Lean and Agile Manufacturing -- Virtual and Grid Manufacturing -- Resource and Asset Management -- Logistics and Supply Chain Management -- Fashion Logistics and Marketing -- RFID Applications -- Predictive and Cognitive Maintenance -- 3D Printing -- Intelligent Inspection -- Chemical Process Equipment -- Parallel Mechanism and Manipulator -- Integration of CAD/CAPP/CAM/CIMS -- Smart Factory.

Abstract: This book is a compilation of selected papers from the 12th International Workshop of Advanced Manufacturing and Automation (IWAMA 2022), held in Jimei University, Xiamen, China on 01 - 02 November, 2022. Topics focusing on novel techniques for manufacturing and automation in Industry 4.0 are now vital factors for the maintenance and improvement of the economy of a nation and the quality of life. It will help academic researchers and engineering to implement the concept, theory and methods in Industry 4.0 which has been a hot topic. These proceedings will make valuable contributions to academic researchers, engineers in the industry for the challenges in the 4th industry revolution and smart factories.

Abstract: Introduction -- Fault Diagnosis of Variable Pitch for Wind Turbine Based on Multi-innovation Forgetting Gradient Identification Algorithm -- Active Fault-tolerant Linear Parameter Varying Control for the Pitch Actuator of Wind Turbines -- Fault Estimation and Fault-tolerant Control of Wind Turbines Using the SDW-LSI Algorithm -- A New Fault Diagnosis Approach for the Pitch System of Wind Turbines.

Abstract: This book focuses on the performance optimization of fault diagnosis methods for power systems including both model-driven ones, such as the linear parameter varying algorithm, and data-driven ones, such as random matrix theory. Studies on fault diagnosis of power systems have long been the focus of electrical engineers and scientists. Pursuing a holistic approach to improve the accuracy and efficiency of existing methods, the underlying concepts toward several algorithms are introduced and then further applied in various situations for fault diagnosis of power systems in this book. The primary audience for the book would be the scholars and graduate students whose research topics including the control theory, applied mathematics, fault detection, and so on.

Abstract: Chapter 1: Introduction -- Chapter 2: Disturbance Observer-Based Backstepping Control of Tail-sitter UAVs -- Chapter 3: Energy Efficient Bi-Quadrotor Powered by Li-ion Battery for Payload Delivery -- Chapter 4: Adaptive Backstepping Controller Design Of Quadrotor Biplane For Payload Delivery -- Chapter 5: Biplane Trajectory Tracking Using Hybrid Controller Based On Backstepping And Integral Terminal Sliding Mode Control -- Chapter 6: Observer Based Rotor Failure Compensation For Biplane Quadrotor With Slung Load -- Chapter 7: Dual Observer Based Adaptive Hybrid Controller For Hybrid UAV -- Chapter 8: Biplane Quadrotor With Total Rotor Failure: A Novel Approach.

Abstract: This book discusses the dynamics of a tail-sitter quadrotor and biplane quadrotor-type hybrid unmanned aerial vehicles (UAVs) and, based on it, various nonlinear controllers design like backstepping control (BSC), ITSMC (Integral Terminal Sliding Mode Control), and hybrid controller (BSC + ITSMC). It discusses single and multiple observer-based control strategies to handle external disturbances like wind gusts and estimate states. It covers the dynamics of slung load with a biplane quadrotor and a control architecture to handle the effect of partial rotor failure with wind gusts acting on it. An anti-swing control to prevent damage to the slung load and a deflecting surface-based total rotor failure compensation strategy to prevent damage to the biplane quadrotor are also discussed in this book. The monograph will be helpful for undergraduate and post-graduate students as well as researchers in their advanced studies.

Abstract: This book includes original, peer-reviewed research papers from the ICAUS 2022, which offers a unique and interesting platform for scientists, engineers and practitioners throughout the world to present and share their most recent research and innovative ideas. The aim of the ICAUS 2022 is to stimulate researchers active in the areas pertinent to intelligent unmanned systems. The topics covered include but are not limited to Unmanned Aerial/Ground/Surface/Underwater Systems, Robotic, Autonomous Control/Navigation and Positioning/ Architecture, Energy and Task Planning and Effectiveness Evaluation Technologies, Artificial Intelligence Algorithm/Bionic Technology and Its Application in Unmanned Systems. The papers showcased here share the latest findings on Unmanned Systems, Robotics, Automation, Intelligent Systems, Control Systems, Integrated Networks, Modeling and Simulation. It makes the book a valuable asset for researchers, engineers, and university students alike.

Abstract: Chapter 1 Introduction -- Chapter 2 Fault Estimation and Tolerant Control for Time-Varying Delayed Fuzzy Systems with Actuator Faults -- Chapter 3 Fault Estimation and Tolerant Control for Multiple Time Delayed Fuzzy Systems with Sensor and Actuator Faults -- Chapter 4 Multiple Intermittent Fault Estimation and Tolerant Control for Switched T-S Fuzzy Stochastic Systems with Multiple Delays -- Chapter 5 Fault-Tolerant Control for Multiple Interval Time Delayed Switched Fuzzy Systems With Intermittent Faults -- Chapter 6 Fault-Tolerant Control for Multiple-Delayed Switched Fuzzy Stochastic Systems With Intermittent Faults -- Chapter 7 Conclusion and Prospect.

Abstract: This book delves into the complexities of fault estimation and fault-tolerant control for nonlinear time-delayed systems. Through the use of multiple-integral observers, it addresses fault estimation and active fault-tolerant control for time-delayed fuzzy systems with actuator faults and both actuator and sensor faults. Additionally, the book explores the use of sliding mode control to solve issues of sensor fault estimation, intermittent actuator fault estimation, and active fault-tolerant control for time-delayed switched fuzzy systems. Furthermore, it presents the use of H∞ guaranteed cost control for both time-delayed switched fuzzy systems and time-delayed switched fuzzy stochastic systems with intermittent actuator and sensor faults. Finally, the problem of delay-dependent finite-time fault-tolerant control for uncertain switched T-S fuzzy systems with multiple time-varying delays, intermittent process faults and intermittent sensor faults is studied. The research on fault estimation and tolerant control has drawn attention from engineers and scientists in various fields such as electrical, mechanical, aerospace, chemical, and nuclear engineering. The book provides a comprehensive framework for this topic, placing a strong emphasis on the importance of stability analysis and the impact of result conservatism on the design and implementation of observers and controllers. It is intended for undergraduate and graduate students interested in fault diagnosis and tolerant control technology, researchers studying time-varying delayed T-S fuzzy systems, and observer/controller design engineers working on system stability applications.

Abstract: Chapter 1: Challenges and Opportunity for Salient Object Detection in COVID-19 Era: A Study -- Chapter 2: Multi-agent Task Assignment Using Swap-Based Particle Swarm Optimization for Surveillance and Disaster Management -- Chapter 3: Facemask Detection and Maintaining Safe Distance Using AI and ML to Prevent COVID-19—A Study.

Abstract: This book presents select peer-reviewed papers from the International Conference on Robotics, Control, and Computer Vision (ICRCCV 2022). The contents focus on the latest research in the field of Robotics, their control, and computer vision in the context of robotics. The contributed papers have been arranged to give a flow to the reader. This book will be useful for students, researchers, and professionals from multidisciplinary fields such as mechanical engineering, electronics engineering, electrical engineering, computer science, and mathematics.

Abstract: Artificial intelligence, Machine Learning and Data Sciences -- Alzheimer’s Disease Classification using Ensemble methods -- Difference-Attribute Based Clustering for Ordinal Survey Data -- Machine Learning Algorithms for Binary Classification of Breast Cancer -- Applications, Issues and Deep Learning Analysis of Electronic Health Records -- Wireless Communication, WSN & Adhoc Networks -- Design of Frequency Beam Scanning Antenna Using SIW for mmwave Applications -- Preventing Data Leakage by Trojans in Commercial and ASIC Application using TDM and DES Encryption & Decryption -- Design of Helmet Mounted Dual Band Conformal Antenna for Military Applications -- Cloud Computing, 5G & loT -- Performance evaluation of Genetic Algorithm and Flower Pollination Algorithm for scheduling tasks in cloud computing -- Comparative Analysis of Load Balancing Algorithm in Cloud Computing -- Robotics and Embedded Systems -- Securely Importing of Back-up file into Cryptowallet -- Trajectory Optimization of a satellite -- Artificial Intelligence Aided Trajectory Planning for UAV -- Sensors & Sensor Technology -- 9T1R nvSRAM Cell with Improved Read Delay and Margin -- System Modelling of Martian Ascent Launch Vehicle.

Abstract: This volume comprises selected peer-reviewed proceedings of the 9th International Conference on Signal Processing and Integrated Networks (SPIN 2022). It aims to provide a comprehensive and broad-spectrum picture of state-of-the-art research and development in signal processing, IoT sensors, systems and technologies, cloud computing, wireless communication, and wireless sensor networks. This volume will provide a valuable resource for those in academia and industry.

Abstract: Introduction -- Preliminaries -- Time-varying formation tracking control for nonlinear swarm system with matched nonlinearity -- Time-varying formation tracking control for high-order strict-feedback nonlinear swarm system with a noncooperative leader -- Time-varying formation tracking control for high-order strict-feedback nonlinear swarm system with multiple leaders -- Time-varying formation tracking control for underactuated nonlinear swarm system.

Abstract: The book focuses on time-varying formation control approaches for practical nonlinear swarm systems. Time-varying formation control is the basic guarantee for performing other tasks of swarm systems, such as cooperative decision-making and cooperative detection. However, most practical swarm systems have nonlinear dynamic models. This book studies three typical models of practical nonlinear swarm systems, which represent most of the practical systems and construct the corresponding formation control structure. At the same time, the effects of disturbances, uncertain dynamics, random noise and unknown leader's input are considered and processed to improve the robustness and adaptability. The comprehensive and systematic treatment of practical nonlinear time-varying formation control issues is one of the major features of the book, which is particularly suited for readers who are interested to learn time-varying formation control solutions in nonlinear swarm systems. The book benefits researchers, engineers and graduate students in the fields of formation control, nonlinear control, robust control, etc.

Abstract: Two Performance Indicators of Reaction Wheel Under-drive Configuration -- MQB-RRT*:An improved path planning algorithm based on improving initial solution and fast convergence -- Research on Attention Mechanism Based Assisted Diagnosis of Pulmonary Embolism -- Method of Inverter with Inductive Load Based on Instantaneous Current -- Early gastric cancer screening framework based on multimodal fusion -- Cooperative Anti-disturbance Control for Leader-follower Ships with Disturbance and Loss-of-effectiveness Fault -- Adaptive Fault-Tolerant Control for a Class of Nonlinear Systems with Quantized Input and Quantized States -- Improved GWO-WOA and fuzzy NN DWA based path planning algorithm for the UAV in dynamic environment -- Circumnavigation control of fixed-wing UAVs using distance measurements -- Cooperative path planning for multi-vehicle systems by an integrated intelligent algorithm of IABC and DWA -- Event-triggered adaptive dynamic surface control for wheeled mobile robot with unknown skidding -- A K-means and GMM-based fusion and detection algorithm against FDI attacks on remote estimator -- Research on surface quality and wheel wear of internal thread in high-speed grinding -- Fast Video Object Segmentation Network Based on Multi-scale Attention Feature Fusion -- Design of Terminal Guidance Law for Air Defense Missile Based On Variable Structure Control Theory -- A trajectory prediction method via affine objective fuzzy clustering -- Analysis on The key Technology of Guidance and Control of Missile and Gun Combined Air Defense Missile -- Evaluating RNN and Its Improved Models for Lithium Battery SoH and BRL Prediction -- MDIoT: IoT Device Identification Method Based On Traffic Characteristics -- Motor Fault Diagnosis Based on Improved Support Vector Machine -- Research on Automatic Detection and Sorting System of Spoiled Fruit Based on Deep Learning -- Based on Graph Model: A Method for Locating and Reconstructing Entanglement Ship Trajectory -- A Weighted Degree Maximum-Based Base Station Frequency Allocation Algorithm -- Adaptive Estimation for Time-Varying Parameters in Nonlinearly Parameterized Systems -- Static characteristics simulation analysis of a plate type flow control type counterbalance valve -- Faster Convergence Rate of Sampled-data Systems with Artificially Designed Optimal Time Delay Parameter -- Multi-robot Formation Control Based on Improved Virtual Spring Path Planning Method -- LQR-based adaptive optimal control for aircraft engine -- A Terrain Aided Navigation Method Based on Point Cloud Digital Elevation Map Construction -- Adaptive fault-tolerant control for a class of nonlinear systems -- Traffic Police Dynamic Gesture Recognition based on Spatiotemporal Attention ST-GCN -- Radar-Based 3D Skeleton Estimation Enhanced with Joint Temporal-Spatial Constraints -- Heuristic-based Bi-RRT* Path Planning Algorithm for Unmanned Systems in Complex Channel Environment -- Improved Safety Helmet-Wearing Detection Algorithm Based on YOLOv5 -- Research on low-cost missile borne landing point positioning device based on RDSS/SMS -- A Prediction Algorithm for Lower Limb Movement Intention Based on Plantar Pressure -- Visual Localization and Map Construction Based on Ground Texture -- Parameter optimization of tracked vehicle steering control strategy based on particle swarm optimization algorithm -- Design of planar torsion spring with high linearity for series elastic actuator -- Fault diagnosis method of rolling bearings via Wavelet-Stacked feature extraction -- A Visual-based Aircraft Pose Estimation Method During Take-off -- Edge detection of carbon electrode image based on improved image restoration and improved Canny operator fusion. -- Landing point control technology of parafoil system based on sliding mode control in a complex environment -- Nail Piece Detection Based on Lightweight Deep Learning Network -- Cosolute Interactions with the Tryptophan Peptide -- Research on High-Voltage Pulse Ignition Power Supply Technology Based on μC_OS_II -- Path planning of mobile robot based on DBSCAN clustering and improved BA*-APF hybrid algorithm -- Method and testing of shaft angle digital conversion based on improved CORDIC algorithm -- Multinomial Regression with Group Structure for Screening Biomarkers of Breast Cancer -- Path planning of mobile robot based on improved A* algorithm(modify) -- Research on the Technology of Using Turning instead of Grinding for Aerospace Titanium Alloy Thin Wall Parts -- Machine Learning in Molecular Dynamics Simulation -- Quality Evaluation of Airfoil Hybrid Mesh Based on Graph Neural Network -- Fixed-time consensus control for heterogeneous multi-agent systems without velocity measurements of neighbors -- Correlation filter feature selection strategy based on inland ship tracking -- Heterogeneous Vehicle Platoon Control Based on Predictive Constant Time Headway Strategy -- Improved Northern Goshawk optimization method for intercepting maneuvering targets with pulse correction projectiles -- Analysis of Probabilistic Energy Flow for Integrated Electricity and Heat Systems Considering Source-load Uncertainty -- A fire alarm system for agricultural sheds designed with -- Cooperative Control and Management for UAS in Distributed Dynamic Kill Web -- Research on Fractional Order Unidirectional Sliding Mode Control for Fixed-Rudder Two-Dimensional Correction Projectile -- UAV path planning based on improved artificial potential field method -- Research on stiffness design basis and dynamic response of series elastic actuator -- Dynamic Estimation of Loads on Wind Turbine Blades Based on Sensor Optimization and Kalman Filter -- Improved Deadbeat Predictive Current Control for Open-winding Permanent Magnet Synchronous Generators -- An effective method for fault localization based on combination of convolution and LSTM -- Bearing-only Formation Control for Nonlinear Multi-agent Systems with Unknown Dead-zone Inputs -- Adaptive event-triggered output feedback tracking control for uncertain nonlinear systems with sensor failures -- CARDNet：A Denoiser Based On Contrast-Aware and Residual-Dense Block -- An Automatic and Efficient Calibration Method for LiDAR-Camera in Targetless Environments -- Modeling analysis of force-thermal coupling for high-speed planetary roller screw -- Optimal output tracking for unknown linear discrete-time systems based on adaptive dynamic programming and output feedback -- LSTM-TD3-based Control for Delayed Drone Combat Strategies -- Design of Adaptive Sliding Mode Controller Based on Neural Network Compensation for Stewart platform -- Research on Adversarial Robustness Properties of Image Classification Networks based on Deep Vision.

Abstract: This book constitutes the proceedings of the 19th Chinese Intelligent Systems Conference, CISC 2023, which was held during October 14–15, 2023, in Ningbo, Zhejiang, China. The book focuses on new theoretical results and techniques in the field of intelligent systems and control. This is achieved by providing in-depth studies of a number of important topics such as multi-agent systems, complex networks, intelligent robots, complex systems theory and swarm behavior, event-driven and data-driven control, robust and adaptive control, big data and brain science, process control, intelligent sensors and detection technology, deep learning and learning control, navigation and control of aerial vehicles, and so on. The book is particularly suitable for readers interested in learning intelligent systems and control and artificial intelligence. The book can benefit researchers, engineers and graduate students.

Abstract: Chapter 1 - Introduction to micro-/nanorobot swarms -- Chapter 2 - Pattern formation of a vortex-like paramagnetic nanoparticle swarm -- Chapter 3 - Ribbon-like magnetic colloid microswarm -- Chapter 4 - Heterogeneous colloidal microswarm with multi-functions -- Chapter 5 - Tornado-like 3-D microswarm: the combination of light and magnetic field -- Chapter 6 - Formation and actuation of microswarms in biofluids -- Chapter 7 - Pattern transformation rates control of microswarms -- Chapter 8 - Localization of microswarms using various imaging methods -- Chapter 9 - Formation and navigation of microswarms in dynamic environments -- Chapter 10 - Applications of micro-/nanorobot swarms in biomedicine -- Chapter 11 - Applications of micro-/nanorobot swarms in the other fields -- Chapter 12 - Conclusions and Future Prospects.

Abstract: This book is focused on the attractive emerging field of micro-/nanorobot swarms (microswarms). It introduces fundamental understandings of various microswarms, including pattern generation, transformation, locomotion, and imaging. This book also demonstrates applications of micro-/nanorobot swarms in different fields, such as biomedical, environmental, and electrical applications. The detailed theoretical analysis and experimental demonstrations in this book provide readers ranging from students to researchers with a realistic picture of progress achieved in the field of micro-/nanorobot swarms. .

Abstract: 1. Introduction -- 2. Modeling and Characteristics Analysis of Underactuated Manipulators -- 3. Control of Vertical Underactuated Manipulator -- 4. Control of Planar Manipulator with a Passive First Joint -- 5. Control of Planar Underactuated Manipulator with an Active First Joint.

Abstract: This book investigates in detail cutting-edge technologies of underactuated manipulator control, which is a frontier topic in robotics that possesses great significance in energy conservation as well as fault tolerance for industrial applications. It is also the crucial technology associated with systems in special environments, including underwater or aerospace environments. So far, the topic of underactuated manipulator control has attracted engineers and scientists from various disciplines, such as applied physics, material, automation and robotics. Pursuing a holistic approach, the book establishes a fundamental framework for this topic, while emphasizing the importance of design and optimization in the control of underactuated manipulators. Chapters of the book cover a wide variety of manipulator systems, including vertical underactuated manipulator, planar underactuated manipulator with first-order nonholonomic constraint, planar underactuated manipulator with second-order nonholonomic constraint and flexible underactuated manipulator. The book is intended for undergraduate and graduate students that are interested in underactuated manipulators, researchers that investigate the design and optimization for controllers of underactuated manipulators and engineers working with underactuated systems.

Abstract: Status of Research on Networked Distributed Systems -- Moving horizon state estimation for networked systems with Random Packet Loss -- Design of predictive controller for networked systems -- Moving horizon scheduling for networked systems with communication constraints -- Distributed Predictive Control for local performance index -- Coordinated distributed predictive control system -- Distributed Predictive Control under Communication Constraints -- Application of distributed model predictive control in accelerated cooling process.

Abstract: This book focuses on the distributed control and estimation of large-scale networked distributed systems and the approach of distributed model predictive and moving horizon estimation. Both principles and engineering practice have been addressed, with more weight placed on engineering practice. This is achieved by providing an in-depth study on several major topics such as the state estimation and control design for the networked system with considering time-delay, data-drop, etc., Distributed MPC design for improving the performance of the overall networked system, which includes several classic strategies for different scenarios, details of the application of the distributed model predictive control to smart grid system and distributed water network. The comprehensive and systematic treatment of theoretical and practical issues in distributed MPC for networked systems is one of the major features of the book, which is particularly suited for readers who are interested to learn practical solutions in distributed estimation and optimization of distributed networked systems. The book benefits researchers, engineers, and graduate students in the fields of chemical engineering, control theory and engineering, electrical and electronic engineering, chemical engineering, and computer engineering, etc. This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.

Abstract: This book includes selected papers from the Third International Conference on Agriculture Digitalization and Organic Production (ADOP 2023), held in St. Petersburg, Russia, during June 05–07, 2023. The topics covered in the book are ground robotic systems in crop production, unmanned aerial vehicles in crop production, aerospace monitoring tools in crop production, robotic animal husbandry, digitalization of technological processes of agricultural production, evaluation of the effectiveness of digital technologies for the production of organic products, rational nature management and ecology in agricultural production, technologies for the production of organic agricultural products, market analysis of organic agricultural products and legal aspects of organic production.

Abstract: Introduction -- Fundamental Theory -- Admissible Consensus and Consensualization on Interaction topology -- Admissible Consensus and Consensualization with Time Delays -- Admissible 2 L Consensus and Consensualization with External Disturbances -- Admissible Consensus and Consensualization with Protocol State Constraints -- Admissible Consensus and Consensualization with Energy constraints -- Admissible Formation Tracking with Energy constraints.

Abstract: This book explores admissible consensus analysis and design problems concerning singular multi-agent systems, addressing various impact factors including time delays, external disturbances, switching topologies, protocol states, topology structures, and performance constraint. It also discusses the state-space decomposition method, a key technique that can decompose the motions of singular multi-agent systems into two parts: the relative motion and the whole motion. The relative motion is independent of the whole motion. Further, it describes the admissible consensus analysis and determination of the design criteria for different impact factors using the Lyapunov method, the linear matrix inequality tool, and the generalized Riccati equation method. This book is a valuable reference resource for graduate students of control theory and engineering and researchers in the field of multi-agent systems.

Abstract: Chapter 1 Introduction -- Chapter 2 Supervised SVM based intelligent fault diagnosis methods -- Chapter 3 Semi-supervised Learning Based Intelligent Fault Diagnosis Methods -- Chapter 4 Manifold learning based intelligent fault diagnosis and prognostics -- Chapter 5 Deep learning based machinery fault diagnosis -- Chapter 6 Phase space reconstruction based on machinery system degradation tracking and fault prognostics -- Chapter 7 Complex electro-mechanical system operational reliability assessment and health maintenance.

Abstract: Based on AI and machine learning, this book systematically presents the theories and methods for complex electro-mechanical system fault prognosis, intelligent diagnosis, and health state assessment in modern industry. The book emphasizes feature extraction, incipient fault prediction, fault classification, and degradation assessment, which are based on supervised-, semi-supervised-, manifold-, and deep learning; machinery degradation state tracking and prognosis by phase space reconstruction; and complex electro-mechanical system reliability assessment and health maintenance based on running state info. These theories and methods are integrated with practical industrial applications, which can help the readers get into the field more smoothly and provide an important reference for their study, research, and engineering practice.

Abstract: Predicting TUG Score from Gait Characteristics with Video Analysis and Machine Learning -- Task-Space Finite-Time Prescribed Performance Tracking Control for Free-Flying Space Robots under Input Saturation -- An Online Game Platform for Intangible Cultural Heritage Tibetan Jiu Chess -- Review of Human Target Detection and Tracking based on Multi-View Information Fusion -- Federated Topic Model and Model Pruning Based on Variational Autoencoder -- Anti-interference Mechanical Fault Diagnosis Method based on CNN and Attention Mechanism -- Refining Object Localization From Dialogues -- License Plate Detection and Recognition Based on Light-yolov7 -- Efficient Partitioning Method of Large-Scale Public Safety Spatio-Temporal Data based on Information Loss Constraints -- Research and Application of Intelligent Monitoring and Diagnosis System for Rail Transit Emergency Power Supply Equipment -- Reliability-based Dynamic Positioning Control for Turret-Moored Vessels with Prescribed Performance -- A Pose Control Algorithm for Simulating Robotic Fish -- Unsupervised Multidimensional Time Series Anomaly Detection Based on Federation Learning -- Reinforcement Federated Learning Method Based on Adaptive OPTICS Clustering -- Simulation and Implementation of Extended Kalman Filter Observer for Sensorless PMSM.

Abstract: The book presents selected research papers from the 2023 Chinese Intelligent Automation Conference (CIAC2023), held in Nanjing, China, on October 2-5, 2023. It covers a wide range of topics including intelligent control, robotics, artificial intelligence, pattern recognition, unmanned systems, IoT, and machine learning. It includes original research and the latest advances in the field of intelligent automation. Engineers and researchers from academia, industry, and government can gain valuable insights into solutions combining ideas from multiple disciplines in this field.

Abstract: Part I Advanced trajectory optimization methods -- Chapter 1 Review of advanced trajectory optimization methods -- Chapter 2 Heurestic optimization-based trajectory optimization -- Chapter 3 Highly fidelity trajectory optimization -- Chapter 4 Fast trajectory optimization with chance constraints -- Chapter 5 Fast generation of chance-constrained flight trajectory for unmanned vehicles -- Part II Advanced guidance and control methods for aerospace vehicles -- Chapter 6 Review of advanced guidance and control methods -- Chapter 7 Optimization-based predictive G&C method -- Chapter 8 Robust model predictive control for attitude control tracking.

Abstract: This book focuses on the design and application of advanced trajectory optimization and guidance and control (G&C) techniques for aerospace vehicles. Part I of the book focuses on the introduction of constrained aerospace vehicle trajectory optimization problems, with particular emphasis on the design of high-fidelity trajectory optimization methods, heuristic optimization-based strategies, and fast convexification-based algorithms. In Part II, various optimization theory/artificial intelligence (AI)-based methods are constructed and presented, including dynamic programming-based methods, model predictive control-based methods, and deep neural network-based algorithms. Key aspects of the application of these approaches, such as their main advantages and inherent challenges, are detailed and discussed. Some practical implementation considerations are then summarized, together with a number of future research topics. The comprehensive and systematic treatment of practical issues in aerospace trajectory optimization and guidance and control problems is one of the main features of the book, which is particularly suitable for readers interested in learning practical solutions in aerospace trajectory optimization and guidance and control. The book is useful to researchers, engineers, and graduate students in the fields of G&C systems, engineering optimization, applied optimal control theory, etc.

Abstract: Chapter 1 Introduction -- Chapter 2 Distributed Cooperative Neural Fault-Tolerant Sliding Mode Control against Actuator Faults -- Chapter 3 Distributed Cooperative Fuzzy Fault-Tolerant Backstepping Control Against Dead-Zone and Saturation -- Chapter 4 Distributed Neural Fault-Tolerant Supervisory Control AgainstBacklash-Like Hysteresis -- Chapter 5 Distributed Fuzzy Fault-Tolerant Output Consensus Control Against Unknown Nonlinear Dead-Zone -- Chapter 6 Adaptive Fault-Tolerant Consensus Control Against Transmission Faults -- Chapter 7 Cooperative Fault-tolerant Neural Control Against Signal Transmission Faults -- Chapter 8 Distributed Fault-tolerant Output-Feedback Control Against Sensor Faults -- Chapter 9 Conclusion and Future Research Directions.

Abstract: This book provides recent theoretical results and applications of the consensus control for nonlinear leader-following systems. Combining adaptive control technique, fuzzy logic systems, neural networks with the other control techniques or approaches, this book investigates the consensus control problem of leader-following systems and proposes the corresponding control scheme. This book intends to provide the readers a good understanding on consensus control based on adaptive control technology. This book can serve as a reference for the main research issues and results on nonlinear multi-agent systems including leader-following systems for researchers devoting to various areas of control theory, as well as a material for graduate and undergraduate students interested in nonlinear multi-agent systems including leader-following systems and their applications. Some prerequisites for reading this book include nonlinear system theory, matrix theory, mathematics, basic graph theory, and so on.

Abstract: Introduction -- Sliding mode H ∞ control for Markov jump discrete systems under packet losses -- Finite-time boundedness -- Passivity and control synthesis -- Hidden Markov model-based control -- Sliding mode fault-tolerant control -- Bumpless transfer control -- semi-Markov jump systems -- Adaptive fault-tolerant control -- Conclusion and future research direction.

Abstract: This book proposes analysis and design techniques for Markov jump systems (MJSs) using Lyapunov function and sliding mode control techniques. It covers a range of topics including stochastic stability, finite-time boundedness, actuator-fault problem, bumpless transfer scheme, and adaptive sliding mode fault-tolerant control for uncertain MJSs. Notably, the book presents a new model for deception attacks (DAs), establishing the correlation between attacks and time delays, which should be of particular interest due to the recent increase in such attacks. The book's content is presented in a comprehensive, progressive manner, with fundamental principles introduced first before addressing more advanced techniques. The book features illustrations and tables, providing readers with a practical and intuitive approach to applying these methods in their own research. This book will prove invaluable to researchers and graduate students in control engineering and applied mathematics with an interest in the latest developments in MJSs.

Abstract: Landmark Detection for Auto Landing of Quadcopter using YOLOv5 -- ROS-based Evaluation of SLAM algorithms and Autonomous Navigation for a Mecanum Wheeled Robot -- An Autonomous Home Assistant Robot for Elderly Care -- 3-D Mapping using Multi-Agent Systems -- Design of Robotic Platform for ADAS Testing -- Design of a novel tree-type robot for pipeline repair -- Comparative Empirical Analysis of Biomimetic Curvy Legged Bipedal Robot with Linear Legged Bipedal Robot -- Energy based Approach for Robot Trajectory Selection in Task Space -- A novel collision avoidance system for two-wheeler vehicles with an automatic gradual brake mechanism -- Development of a Digital Twin Interface for a Collaborative Robot -- Fixed-Time Information Detection based Secondary Control Strategy for Low Voltage Autonomous Microgrid -- Approximation of Standalone Boost-Converter Enabled Hybrid Solar-Photovoltaic Controller System -- Trajectory Tracking with RBF Network Estimator and Dynamic Adaptive SMC Controller for Robot Manipulator -- Simplified Current Control Method for FOC of Permanent Magnet Synchronous Motor -- Reference spectrum tracking for circadian entrainment -- Error Minimization Based Order Diminution of Interconnected Wind Turbine Generator -- AR and IoT Integrated Machine Environment (AIIME) -- Development of affordable smart and secure multilayer locker system for domestic applications -- IoT and ML-based personalised healthcare system for heart patients.

Abstract: This volume comprises peer-reviewed proceedings of the International Conference on Robotics, Control, Automation, and Artificial Intelligence (RCAAI 2022). It aims to provide a broad spectrum picture of the state of art research and development in the areas of intelligent control, the Internet of Things, machine vision, cybersecurity, robotics, circuits, and sensors, among others. This volume will provide a valuable resource for those in academia and industry.

Abstract: Introduction -- Drive System and Mechanism of Special Robots -- Sensor Technology of Special Robots -- Vision-based Mobile Robot Positioning Technology -- Path Planning for Mobile Robots Based on Algorithm Fusion -- Ruin Search and Rescue Robot -- Text Questions and Answers robot.

Abstract: This book focuses on the core technologies of special robots. Both principles and engineering practice have been addressed. This is achieved by providing an in-depth study on several major topics such as the vision positioning of mobile robots, the autonomous motion control of ruin search and rescue robots, and typical applications of text questions and answers robots. The autonomous motion control technologies of ruin search and rescue robots and typical applications of text questions and answers robots are the major features of the book. The book benefits researchers, engineers, senior undergraduate students, and postgraduate students in the fields of visual positioning, path planning, autonomous motion control, and typical applications of special robots. .

Abstract: Optimal placement of phasor measurement units considering channel limits under various contingencies -- Adaptive Deep Recurrent Neural Network Based COVID-19 Healthcare Data Prediction for Early Risk Prediction -- Maximum Decision Support Regression Based Advance Secure Data Encrypt Transmission For Healthcare Data Sharing In The Cloud Computing -- Routing Integrity Mechanism To Prevent Wormhole Attacks In Vehicular Adhoc Networks -- A detailed analysis on spam emails and detection using Machine Learning algorithms -- Advanced Encryption Standard based Encryption for Secured Transmission of Data in Cognitive Radio with Multi-Channels -- Multi energy-harvesting smart water meter design for underground water pipeline leakage detection -- Tensor Flow Model with Hybrid Optimization Algorithm for solving Vehicle Routing Problem -- Authentication key generator for data sharing on cloud- A Review -- Restaurant Quality Analysis: A Machine Learning Approach -- Towards the Implementation of Traffic Engineering in SDN: A Practical Approach -- Real time intrusion detection in connected autonomous vehicles -- Physical Architecture of Linear Feedback Shift Register using Clock Tree Synthesis for Cyber-Physical System -- Detection of Arrhythmia via Electrical Activity of the Heart using AI techniques -- Utilizing Deep Convolutional Neural Networks for Image-Based Plant Disease Detection.

Abstract: This book presents selected papers from the 7th International Conference on Inventive Systems and Control (ICISC 2023), held on January 30–31, 2023, at JCT College of Engineering and Technology, Coimbatore, India. The conference proceedings of ICISC 2023 include an analysis of the class of intelligent systems and control techniques that utilizes various artificial intelligence technologies, where there are no mathematical models and system available to make them remain controlled. Inspired by various existing intelligent techniques, the primary goal of ICISC 2023 proceedings is to present the emerging innovative models to tackle the challenges faced by the existing computing and communication technologies.

Abstract: An integrated exoskeleton-upper limb system: modeling, control, stability study and robustness analysis -- Control of Lower Limb Rehabilitation Exoskeleton for stroke patients in Contact Environments -- SOS-based Robust Control Design Subject to Actuator Saturation for Maximum Power Point Tracking of Photovoltaic System -- Nonlinear optimal control for residential microgrids with Wind Generators, Fuel Cells and PVs -- Nonlinear optimal control for VSI-fed three-phase asynchronous motors -- Photovoltaic energy fed DC motor for water pump -- A Robust Linear Feedback Control of PEMFC’s Air Feed System -- Robust saturated control based static output feedback for steering control of the autonomous vehicle via non quadratic Lyapunov function -- Robust Constrained Gain-Scheduled Static Output Feedback Controller for NLPV Descriptor Systems Subject to State and Input Constraints -- A Constrained Optimal Control Strategy for Switched Nonlinear Systems Based on Metaheuristic Algorithms -- Robustness Analysis of a Discrete Integral Sliding Mode Controller for DC-DC Buck Converter using Input-Output Measurement -- Fault Tolerant Control for uncertain neutral time-delay system -- Observability Bound of Discrete-Time Linear Multivariable Singularly Perturbed System -- Type-1 and Type-2 Fuzzy Techniques: Application to Robotic Systems -- Design of Interval Type 2 Fuzzy Adaptive Sliding Mode Control -- Robust Nonfragile Control Strategies for Bilinear Uncertain Fuzzy Systems Based on Proportional PDC Approach.

Abstract: The book presents recent applications and developments in the field of control of industrial systems, covering a wide range of modeling and feedback control using various robust approaches such as fuzzy systems, sliding mode control, and H-infinity. This book provides insights into theory, applications, and perspectives relevant to the field of robotic systems, exoskeletons, power systems, photovoltaic systems, etc., as well as general methodologies and paradigms around them. Each chapter provides an enriched understanding of a research topic along with a balanced treatment of the relevant theories, methods, or applications. It reports on the latest advances in the field. This book is a good reference for graduate students, researchers, educators, engineers, and scientists and contains a total of 15 chapters divided into five parts as follows. The first part of this book focuses on the application of fuzzy control to robotic systems and consists of three chapters. The second part of this book proposes the control of lower and upper limb exoskeletons and includes two chapters. The third part is dedicated to the control of power systems and comprises three chapters. The fourth part deals with various approaches to the modeling and control of industrial processes and comprises four chapters. The fifth and final part describes observers and fault-tolerant control systems and comprises five chapters.

Abstract: Chapter 1:The Composition of Typical Robot System -- Chapter 2:Connect the Robot to ROS -- Chapter 3:Preliminary Construction of Robot System Model -- Chapter 4:Laser SLAM -- Chapter 5: Autonomous Navigation -- Chapter 6: SLAM Based on Multiple Sensors -- Chapter 7: Robotic Arm Motion Control -- Chapter 8: Machine Vision -- Chapter 9: Object Grasping with Vision-based Robotic Arm -- Chapter 10:Vision-based Mobile Robot -- Chapter 11:Visual SLAM and 3D Reconstruction.

Abstract: This book introduces readers to the principles and practical applications of intelligent robot system with robot operating system (ROS), pursuing a task-oriented and hands-on approach. Taking the conception, design, implementation, and operation of robot application systems as a typical project, and through “learning-by-doing, practicing-while-learning” approach, it familiarizes readers with ROS-based intelligent robot system design and development step by step. The topics covered include ROS principles, mobile robot control, Lidar, simultaneous localization and mapping (SLAM), navigation, manipulator control, image recognition, vision calibration, object grasping, vision SALM, etc., with typical practical application tasks throughout the book, which are essential to mastering development methods for intelligent robot system. Easy to follow and rich in content, the book can be used at colleges and universities as learning material and a teaching reference book for “intelligent robot,” “autonomous intelligent system,” “robotics principles,” and “robot system application development with ROS” in connection with automation, robotics engineering, artificial intelligence (AI), mechatronics, and other related majors. The book can assist in mastering the development and design of robot systems and provide the necessary theoretical and practical references to cultivate robot system development capabilities and can be used as teaching material for engineering training and competitions, or for reference, self-study, and training by engineering and technical personnel, teachers, and anyone who wants to engage in intelligent robot system development and design.

Abstract: Rebalancing Algorithm for Bike Sharing System Networks with Uncertain Inventories and Stations with Finite Capacity -- Sensor-Based Personal Activity Recognition Using Mixed 5 -Layer -CNN-LSTM and Hyperparameter Tunning -- Distance and Similarity measures of Hesitant Bi-fuzzy set and its applications in pattern recognition problem -- Impact of Machine Learning in Education -- Lung Disease Classification Using CNN -- Machine learning approach for Traffic sign detection and indication using open CV with Python -- Determining the Fruit Ripening stage using Convolution Neural Networks -- A comprehensive review and discussion on Corn Leaf disease detection using Artificial Intelligence -- A Case Study of Selecting Suitable Agribots in Agri-Farming -- A Survey on Novel Hybrid Metaheuristic Algorithms for Image Segmentation -- A ranking method for the linguistic q-rung orthopair fuzzy set based on possibility degree measure -- Impact of DFIM Controller Parameters on SSR Characteristics of Wind Energy Conversion System with Series Capacitor Compensation -- Structured Image Detection Using Deep Learning (SIDUD) -- Enhanced Heart Disease Predicion using Hybrid Random Forest with Linear Model -- Rice Crop Disease Detection Using Machine Learning Algorithms -- Machine Learning Algorithms for Polycystic Ovary Syndrome/Polycystic Ovarian Syndrome Detection: A Comparison -- Synthesizing Music By Artist's Style Transfer using VQ-VAE and Diffusion Model -- Segmentation and Classification for Plant Leaf Identification Using Deep Learning Model -- Analyzing Machine Learning Algorithm for Breast Cancer Diagnosis -- IoT Application on Home Automation with Smart Meter -- Personal Area Network (PAN) Smart Guide for the Blind (PSGB) -- Brain MRI Classification: A Systematic Review -- A Step Towards Smart Farming: Unified Role of AI and IoT. .

Abstract: This book consists of a collection of the high-quality research articles in the field of computer vision and robotics which are presented in the International Conference on Computer Vision and Robotics (CVR 2023), organized by BBD University Lucknow, India, during 24–25 February 2023. The book discusses applications of computer vision and robotics in the fields like medical science, defence, and smart city planning. The book presents recent works from researchers, academicians, industry, and policy makers.

Abstract: Research on Hierarchical Mechanism of strictly metric-free model modeling and parameter optimization -- Analytical Study of the Nonlinear Characteristics of Hydraulic Servo Actuator -- Fetal Head Circumference Detection Based on Dlink-Net Model -- Circumnavigating Control of an Unmanned Aerial Vehicle Using Range-only Measurements -- Path Planning for Parafoil Airdrop System Based on TD3 Algorithm: Reward Shaping with Potential Field -- Research on Efficiency Optimization of Open Winding Permanent Magnet Synchronous Generator Considering Zero Sequence Current Suppression -- Low frequency wide bandgap of perforation local resonant meta-structure sandwich plate -- Full polarization radar target recognition based on ensemble learning algorithm -- Input-to-state Stability of Cyber-physical Systems under Denial of Service Attacks -- Research on Wing Attitude Prediction Method Based on Distributed Inertial Navigation Network -- Design and Simulation of Pneumatic Drive System for Mobile Highland Tent -- Finite-Time Stability and Stabilization of Continuous-Time Mean-Field Stochastic Systems -- Flight Control Practice of Relay Communication Service for Mars Exploration -- Research On Integration Technology of Guidance and Fuze For Air Defense Missile -- Assessment method for fine configuration of basic resource of information system -- Resilient Consensus of Heterogeneous Multi-Agent Systems Based on E-MSR Algorithms -- Target identification technology in space light environment based on improved YOLOX -- Adaptive Control of Vehicle Steering-by-wire System -- Quadcopter UAV Swarm Formation and Avoidance Collision System -- Finite-time anti-disturbance control for stochastic system with multiple disturbance -- Master-slave power battery management system based on STM32 microcontroller -- Preliminary Study on the Method of Generating Infrared Image Based on CycleGAN -- Predicting Nitrogen Oxide Concentration Based on Quadrupedal Robots -- Research on Aerofoil Distortion Angle Prediction Method Based on Prediction Model -- State Estimation and Fusion for Multisensor Systems with Non-Gaussian Noises and False Data Injection Attacks -- Key technology research of VR-based substation practice teaching system -- Experimental Research on Surface Integrity of High Strength Steel Turning by Analysis of Variance Method -- Event-triggered prescribed performance control for nonlinear servo systems with unknown disturbances -- Adaptive actor-critic neural finite time optimal control for constrained nonlinear MASs via command filter -- The Realization of Model-based Spacecraft Mission Planning and Execution of High-Level Autonomy -- Human Intention Recognition for Lower Limb Exoskeleton Robot -- Attention Based Temporal Convolutional Networks for Short-term Wind Power Forecasting -- Implementation of a receiver tracking loop adapted to intermittent network transmission -- Fusing multi-scale binary convolution with joint attention face expression recognition algorithm -- Comparison between Simulation and Experiment of Parafoil Fixed Height Flight by Adding Thrust Motor Model -- Multi-sensor Fusion Model-Free Adaptive Control for Systems with Network Attacks -- Stereovision-based Target Trajectory Tracking Control for Robotic Manipulator -- Model Predictive Control for Uncalibrated Visual Servoing Based on Broyden Estimation -- A Non-Iterative Turboshaft Engine Model with Its Neural Network Control Algorithm -- Real-time Pedestrian Tracking System Based on Depth Camera for Quadruped Robot -- Automatic Kidney Parenchyma Segmentation Based on Improved UNeXt Model -- Analysis of the problem of zero deviation characteristics exceeding the tolerance of a hydraulic servo actuator -- Design of a Multi axis Motion Control System for Smart Hands Based on SOC -- A Distributed Processing Method for Large Scale Logs -- Precession Fault Diagnosis Method Based on Butterworth Filter and Convolutional Neural Network -- Active contour model based on poisson's equation and morphology for inhomogeneous image segmentation -- Path Planning of Mobile Robot Based on Improved Artificial Potential Field Method -- Research on trajectory control of unmanned based on adaptive MPC -- Adaptive Repetitive Learning Control for Dual-motor Driving Servo Systems -- Adaptive non-backstepping output-feedback control for hydraulic servo system -- Concurrent Learning Model Reference Adaptive Control of Articulated Vehicles -- Adaptive Neural Finite-time Output Feedback Compensated Control for Stochastic Nonstrict-feedback Systems with Prescribed Performance -- Bipartite Consensus Control for Multi-Agent Systems with Privacy-Preserving under Directed Topology -- A geometric approach to design disturbance rejection controller in finite frequency domain -- Adaptive Sliding Mode Control with Disturbance Observer for Trajectory Tracking of Robotic Milling -- Research on Multi-aircraft Time Cooperative Interception Method Based on TD3 Algorithm -- Laser Intensity and Multi-Echo Information Utilization for Indoor Unmanned Aerial Vehicles (UAVs): Current Status and Future Trends -- UCB-based architecture search for remaining useful life prediction -- Simulation and experimental analysis of thermal characteristics of valve body active cooling structure -- A Method for Partitioning the Topological Structure of Groups Based on Hypergraphs -- Motion imagery classification algorithm based on multiscale convolution and transfer learning -- A Method to Enhance Data Observability for Robot Calibration in Confined Space -- Multiplayer Stackelberg-Nash Game for Discrete-Time Nonlinear System -- Adaptive Finite-Time Parameter Estimation for a Reaction Force-sensing Series Elastic Actuator -- Space Robotic Arm Joint Design and Experimental Method Research -- Multi-mobile Robots Formation Control with Prescribed Performance in Polar Coordinates -- Horizontal Trajectory Tracking Control for X Rudder AUV Adopted Sliding Mode Control with IPSO Allocation Algorithm -- A Noval Graph Convolutional Neural Network and its Application in Power Load Forecasting -- Identity Consistency Construction for Visible-infrared Person Re-identification in Cloud Environment -- Adaptive Consensus for Second-Order Uncertain Multiagent Systems with Communication Delays Using Relative Output Information -- A Multi-terrain Adaptive Feed-forward Control Walking Algorithm for Lifting Exoskeleton -- FDI Attack-Resilient Distributed Cooperative Control for Microgrids via Two-hop Communication -- Adaptive Formation Control for Uncertain Networked Wheeled Mobile Robots -- A PGK Aerodynamic Simulation Analysis and Trajectory Optimization Study -- Deep Reinforcement Learning-based Multi-objective 3D Path Planning for Vehicles.

Abstract: This book constitutes the proceedings of the 19th Chinese Intelligent Systems Conference, CISC 2023, which was held during October 14–15, 2023, in Ningbo, Zhejiang, China. The book focuses on new theoretical results and techniques in the field of intelligent systems and control. This is achieved by providing in-depth studies of a number of important topics such as multi-agent systems, complex networks, intelligent robots, complex systems theory and swarm behavior, event-driven and data-driven control, robust and adaptive control, big data and brain science, process control, intelligent sensors and detection technology, deep learning and learning control, navigation and control of aerial vehicles, and so on. The book is particularly suitable for readers interested in learning intelligent systems and control and artificial intelligence. The book can benefit researchers, engineers and graduate students.

Abstract: Introduction -- Spacecraft Model and Preliminaries -- Spacecraft Performance Guaranteed Asymptotic Control with Time Parameters -- Spacecraft Performance Guaranteed Finite-Time Control -- Spacecraft Performance Guaranteed Control with Improved Transient Performance -- Spacecraft Performance Guaranteed Control with Command Filter -- Spacecraft Performance Guaranteed Finite-Time Control with Command Filter -- Spacecraft Performance Guaranteed Optimal Control with ADP -- Performance Guaranteed Non-zero-Sum Games for Multiple Spacecraft in Rendezvous and Docking -- Performance Guaranteed Non-zero-sum Games for Multiple Combined Spacecraft -- Spacecraft Performance Guaranteed Distributed Formation Control with Full-State Constraints and Nonlinear Uncertainties -- Spacecraft Performance Guaranteed Coordinated Formation Control with Attitude Constraints via State and Output Feedback -- Network Spacecraft Formation Containment Control with Collision Avoidance.

Abstract: Facing future-oriented aerospace applications, large-scale space construction and on-orbit services have rapidly developed. In such emerging and increasingly complex spacecraft maneuvering and control tasks, more precise control accuracy and higher performance guarantees need to be fully considered due to the need for safe close rendezvous movements. This book is dedicated to solving the aerospace system’s performance guaranteed and precise control challenges with the expected transient and strict steady-state constraints. It is designed so that the aerospace closed-loop system can theoretically meet the pre-defined or prescribed performance requirements with the simple parameter selection. Furthermore, the expected performance constraints or indicators of the aerospace system time-domain performance response, such as settling time, overshoot, steady-state error, and state amplitude, will be directly guaranteed in the control design. Moreover, this book systematically proposes a series of spacecraft performance guaranteed control algorithms based on the practical situation of the aerospace system. For individual spacecraft, control algorithms that consider practical problems such as control task requirements, settling time constraints, transient performance normalization, input command constraints, and optimization faced by the on-orbit spacecraft are proposed to achieve the precise control objectives of the system under constraints and various complex situations. For the pre-combination and post-combination control of multiple spacecraft, game algorithms based on performance guarantees are proposed and thoroughly discussed. For spacecraft formations, control algorithms that consider full-state constraints, nonlinear uncertainties, output feedback, and collision avoidance are proposed. This book provides the theoretical basis and simulation experience for scholars and engineers to develop high-performance, high-precision spacecraft control algorithms. Furthermore, it hopes that these will contribute to the development of the world’s aerospace technology.

Abstract: Introduction and Preview -- Fuzzy Robust H∞ Control with Dynamic Quantization -- Fuzzy Filtering with Multiple Signal Transmissions -- Fuzzy Output Feedback Control with Communication Constraints -- Event-triggered Fuzzy Control and Filtering with Communication Constraints -- Fuzzy Fault Detection and Fault-tolerant Control with Quantization.

Abstract: This book systematically studies the feedback control and filtering problems for nonlinear plants with limited communication channels based on T-S fuzzy models. By fully considering different network-induced phenomena, such as signal quantizations, time-delays, data packet dropouts, communication protocols, cyber attacks, and so on, some significant strategies are provided for various performance analysis and different controller/filter synthesis of fuzzy systems. The event-triggered mechanism is also mentioned to save the communication resource. Moreover, some results are extended to the fault detection and fault-tolerant control. The book provides some new methodologies in analysis and synthesis of fuzzy systems under communication channels, and can serve as a valuable reference material for researchers wishing to explore the area of control and filtering of fuzzy systems and networked systems.

Abstract: Introduction to Complex System Resilience -- Optimal Control Approach to Identifying Cascading Failures -- Jacobian-free Newton-Krylov Method for Risk Identification -- Security Monitoring using Converse Lyapunov Function -- Online Gaussian Process Learning for Security Assessment -- Risk Identification of Cascading Process under Protection -- Model Predictive Approach to Preventing Cascading Process -- Robust Optimization Approach to Uncertain Cascading Process -- Cooperative Control Methods for Relieving System Stress -- Distributed Optimization Approach to System Protection -- Reinforcement Learning Approach to System Recovery -- Summary and Future Work.

Abstract: This book provides a systematic framework to enhance the ability of complex dynamical systems in risk identification, security assessment, system protection, and recovery with the assistance of advanced control and optimization technologies. By treating external disturbances as control inputs, optimal control approach is employed to identify disruptive disturbances, and online security assessment is conducted with Gaussian process and converse Lyapunov function. Model predictive approach and distributed optimization strategy are adopted to protect the complex system against critical contingencies. Moreover, the reinforcement learning method ensures the efficient restoration of complex systems from severe disruptions. This book is meant to be read and studied by researchers and graduates. It offers unique insights and practical methodology into designing and analyzing complex dynamical systems for resilience elevation.

Abstract: Chapter 1 Autonomous Driving: The Challenges -- Chapter 2 3D Object Detection -- Chapter 3 Lane Detection -- Chapter 4 Motion Planning and Control -- Chapter 5 Positioning and Mapping -- Chapter 6 Autonomous Driving Simulator -- Chapter 7 Autonomous Driving Chip -- Chapter 8 Deep Learning Model Optimization -- Chapter 9 Deep Learning Chip Design -- Chapter 10 Autonomous Driving SoC Chip Design -- Chapter 11 Autonomous Driving Operating System -- Chapter 12 Autonomous Driving Software Architecture -- Chapter 13 V2X.

Abstract: With the rapid development of artificial intelligence and the emergence of various new sensors, autonomous driving has grown in popularity in recent years. The implementation of autonomous driving requires new sources of sensory data, such as cameras, radars, and lidars, and the algorithm processing requires a high degree of parallel computing. In this regard, traditional CPUs have insufficient computing power, while DSPs are good at image processing but lack sufficient performance for deep learning. Although GPUs are good at training, they are too “power-hungry,” which can affect vehicle performance. Therefore, this book looks to the future, arguing that custom ASICs are bound to become mainstream. With the goal of ICs design for autonomous driving, this book discusses the theory and engineering practice of designing future-oriented autonomous driving SoC chips. The content is divided into thirteen chapters, the first chapter mainly introduces readers to the current challenges and research directions in autonomous driving. Chapters 2–6 focus on algorithm design for perception and planning control. Chapters 7–10 address the optimization of deep learning models and the design of deep learning chips, while Chapters 11-12 cover automatic driving software architecture design. Chapter 13 discusses the 5G application on autonomous drving. This book is suitable for all undergraduates, graduate students, and engineering technicians who are interested in autonomous driving.

Abstract: Efficient PBFT Algorithm Research Based on Credit Value Model -- MK-DCCA Based Fault Diagnosis for Incipient Fault in Nonlinear Dynamic Processes -- An Improved Siamese Capsule Networks Classification Method for Few Sample Remote Sensing Images -- Robotic Arm Grasping Based on Deep Reinforcement Learning -- Multidimensional non-linear ship trajectory prediction based on LSTM network corrected by GA-BP -- Design and Simulation of the Hydraulic System for Height Adjustment of Carriages -- Virtual Model Control Algorithm Simulation for Lower Limb Assist Exoskeleton -- Neural network based singularity-free adaptive prescribed performance control of two-mass systems -- Intelligent Path Planning for Home Service Robots Based on Improved RRT Algorithm -- Adaptive Neural Networks Backstepping Control of Uncertain Second-Order Systems with Input and State Time Delays -- Satellite-Terrestrial Integrated Network Slicing Resource Management based on reinforcement learning -- Event-triggered adaptive neural network trajectory tracking control of MSVs under deception attacks -- Planetary Flight Obstacle Avoidance Guidance Method Based on ES and DQN -- Improving unmanned panoramic perception algorithm of DAFPN-YOLO -- Development of Electromagnetic Model for Linear Force Motor in Direct-Drive Hydraulic Servo Actuators -- Analysis on structure and kinematics for a novel decoupled rope-driven manipulator -- Fractional order LMS algorithms: a review and application in signal denoising -- Research on Low-Cost IMU Testing Methods -- Androgynous Tool Quick-Change Mechanism and its Misalignment Tolerance of Space Manipulator -- Fast parameter estimation algorithm for the signal modeling based on equation solution -- Second Harmonic-Compensated Phase-Locked Loop for Resolver-to-Digital Conversion -- Adaptive tracking of nonlinear switched systems with sensor uncertainties based on weighted average voting algorithm -- Load distribution of planetary roller screw mechanism with roller threads modification -- Finite-time H∞ Synchronization Control of Piecewise Homogeneous Markov jumping T-S Fuzzy Discrete Complex Networks Subject to Hybrid Attacks and Uncertainty -- Modeling and Control Algorithm of the Multi-duct-rotor Mode Transformable Aircraft -- VR-based Virtual Surgical Training via Parametric Human Body Modeling -- Key-agent based dynamic prioritized planning for multi-agent systems -- Fixed-time Tracking Control for Robotic Manipulators Based on Adding a Power Integrator Method -- Model-free optimal control for linear systems with state and control inequality constraints -- Binary Consensus of Multi-Agent Systems With Privacy Preserving And Random Communication Noises -- Highway Abandoned Object Detection Based on Foreground Extraction -- YOLO-Based Semantic Segmentation for Dynamic Removal in Visual-Inertial SLAM -- Design and implementation of integrated operations control center based on cloud architecture -- Observability of Edge Dynamics in Complex Networks -- A Modified Orthogonal Experimental Method for Configuration Data Acquisition Planning of Industrial Robots -- Event-Triggered Adaptive Finite-Time Tracking Control for Full States Constrained Robot Manipulators -- Research on Satellite Routing Method Based on Q-learning in Failure Scenarios -- Ensemble Regularized Polynomial Regression for Diagnosing Breast Cancer Subtypes -- Smart Laboratory: A New Smart-manufacturing-technologies-enabled Chemical Experiment Paradigm -- Design and implementation of humanoid robot arm based on human arm mechanism -- A hybrid variable impedance force control method for industrial robots -- Flexo-coupled drive dexterous finger differential motion control -- The hardware in loop simulation system design based on PLC for the process control -- Research on Gas Source Location of quadruped Robot based on DDQN -- A tracking loop method for parallel receiver with low interaction overhead -- Three-channel Decoupling Control for Fighter Aircraft based on PPC and LADRC -- Characterization of Lissajous Scanning Trajectory Based on 2D MEMS Mirror -- SINR Communication Based Fast Predictive Control for CPSs Under DoS Attacks -- Experimental Research on High Strength Steel for Side Milling Processes -- Feature Matching Method Based on Improved SIFT and KLT -- Violation Detection Method Based on Improved YOLOv5s -- A Visual-LiDAR Object Tracking Method Using Correlation Filter And Potential Matching -- A model based on Trend-Seasonal Decomposition and GCN for traffic flow prediction -- Formation Control of Multiple Nonholonomic Wheeled Robots with Disturbances -- Compute a Class of Refinable Function By a Matlab Code and its Figures -- Analysis of Vibration Characteristics and Structural Improvement of Rolling Ball Joint Swinging Nozzle -- Adaptive Tracking Control for Manipulators with Prescribed Performance -- Nighttime Vehicle Object Detection Based on Improved YOLOv7 -- A Demagnetization Fault Diagnosis Strategy for Vehicle Permanent Magnet Synchronous Motor -- Design and implementation of UAV semi-physical simulation system based on VxWorks -- Nonsingular fast terminal sliding mode control of Stewart parallel robot -- Distributed optimization algorithm for multi-agent system with time-varying communication delay based on the game theory -- Distributed Formation Control Based on Linear Model for Power-line Inspection Robots -- A dynamic trust-based access control for multi-domain cloud systems -- On the Digital Intelligence for Online Retail Decision Support -- Modeling and High-Order Differential Feedback Control of Unmanned Helicopter Under Disturbances -- Three-phase single-switch active power factor corrector based on UC1854 -- Study of Digital Test Method for Cable-driven Dexterous Hand -- DETR with Recursive Gated Convolution Encoder -- Discrete Input-to-State Stability with Respect to Boundary and Distributed Disturbances for Balance Laws Systems -- A Remote Mobile Image Acquisition System and Experimental Simulation of Indoor Scenes Based on An RGB-D Camera -- Flexible load market bargaining scheduling strategy for active distribution network based on demand response -- Research on Intelligent Collaboration and Obstacle Avoidance Control of Multiple Parafoils System -- Construction of Knowledge Graphs Related to Industrial Key Production Processes for Query and Visualization -- Multi-objective Optimization Design of the Structural parameters of swing arm crawler rescue robot -- An Anomaly Detection Algorithm for Logs Based on Self-Attention Mechanism and BiGRU Model.

Abstract: This book constitutes the proceedings of the 19th Chinese Intelligent Systems Conference, CISC 2023, which was held during October 14–15, 2023, in Ningbo, Zhejiang, China. The book focuses on new theoretical results and techniques in the field of intelligent systems and control. This is achieved by providing in-depth studies of a number of important topics such as multi-agent systems, complex networks, intelligent robots, complex systems theory and swarm behavior, event-driven and data-driven control, robust and adaptive control, big data and brain science, process control, intelligent sensors and detection technology, deep learning and learning control, navigation and control of aerial vehicles, and so on. The book is particularly suitable for readers interested in learning intelligent systems and control and artificial intelligence. The book can benefit researchers, engineers and graduate students.

Abstract: The book presents best selected research papers presented at the Fourth International Conference on Recent Trends in Communication and Intelligent Systems (ICRTCIS 2023), organized by Arya College of Engineering and IT, Jaipur, on April 28–29, 2023. It discusses the latest technologies in communication and intelligent systems, covering various areas of communication engineering, such as signal processing, VLSI design, embedded systems, wireless communications, and electronics and communications in general. Featuring work by leading researchers and technocrats, the book serves as a valuable reference resource for young researchers and academics as well as practitioners in industry.