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  • 1
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9781789848267 , 9781789848274
    Language: English
    Pages: 1 Online-Ressource (200 p.)
    Abstract: This book describes recent studies on modern control systems using various control techniques. The control systems cover large complex systems such as train operation systems to micro systems in nanotechnology. Various control trends and techniques are discussed from practically modern approaches such as Internet of Things, artificial neural networks, machine learning to theoretical approaches such as zero-placement, bang-bang, optimal control, predictive control, and fuzzy approach
    Note: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9789535137979 , 9789535137962 , 9789535140702
    Language: English
    Pages: 1 Online-Ressource (362 p.)
    Abstract: This book focuses on the applications of robust and adaptive control approaches to practical systems. The proposed control systems hold two important features: (1) The system is robust with the variation in plant parameters and disturbances (2) The system adapts to parametric uncertainties even in the unknown plant structure by self-training and self-estimating the unknown factors. The various kinds of robust adaptive controls represented in this book are composed of sliding mode control, model-reference adaptive control, gain-scheduling, H-infinity, model-predictive control, fuzzy logic, neural networks, machine learning, and so on. The control objects are very abundant, from cranes, aircrafts, and wind turbines to automobile, medical and sport machines, combustion engines, and electrical machines
    Note: English
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  • 3
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9781789848274 , 9781789848267 , 9781839620157
    Language: Undetermined
    Pages: 1 Online-Ressource (200 p.)
    Keywords: Neural networks & fuzzy systems
    Abstract: This book describes recent studies on modern control systems using various control techniques. The control systems cover large complex systems such as train operation systems to micro systems in nanotechnology. Various control trends and techniques are discussed from practically modern approaches such as Internet of Things, artificial neural networks, machine learning to theoretical approaches such as zero-placement, bang-bang, optimal control, predictive control, and fuzzy approach
    Note: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    Article
    Article
    Associated volumes
    In:  Routledge handbook of the environment in Southeast Asia (2017), Seite 496-508 | year:2017 | pages:496-508
    ISBN: 9780415625210
    Language: Undetermined
    Titel der Quelle: Routledge handbook of the environment in Southeast Asia
    Publ. der Quelle: London : Routledge, Taylor and Francis Group, 2017
    Angaben zur Quelle: (2017), Seite 496-508
    Angaben zur Quelle: year:2017
    Angaben zur Quelle: pages:496-508
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    ISBN: 9789814311427
    Language: Undetermined
    Titel der Quelle: Contested waterscapes in the Mekong region
    Publ. der Quelle: Singapore : Institute of Southeast Asian Studies, 2010
    Angaben zur Quelle: (2010), Seite 283-306
    Angaben zur Quelle: year:2010
    Angaben zur Quelle: pages:283-306
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    Online Resource
    Online Resource
    [Erscheinungsort nicht ermittelbar] : IntechOpen
    ISBN: 9789535137979 , 9789535137962 , 9789535140702
    Language: Undetermined
    Pages: 1 Online-Ressource (362 p.)
    Keywords: Automatic control engineering
    Abstract: This book focuses on the applications of robust and adaptive control approaches to practical systems. The proposed control systems hold two important features: (1) The system is robust with the variation in plant parameters and disturbances (2) The system adapts to parametric uncertainties even in the unknown plant structure by self-training and self-estimating the unknown factors. The various kinds of robust adaptive controls represented in this book are composed of sliding mode control, model-reference adaptive control, gain-scheduling, H-infinity, model-predictive control, fuzzy logic, neural networks, machine learning, and so on. The control objects are very abundant, from cranes, aircrafts, and wind turbines to automobile, medical and sport machines, combustion engines, and electrical machines
    Note: English
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
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