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    In:  Journal of ethnopharmacology : an interdisciplinary journal devoted to bioscientific research on indigenous drugs Vol. 123, No. 1 (2009), p. 1-5
    ISSN: 0378-8741
    Language: Undetermined
    Titel der Quelle: Journal of ethnopharmacology : an interdisciplinary journal devoted to bioscientific research on indigenous drugs
    Publ. der Quelle: Shannon : Elsevier Science Ireland
    Angaben zur Quelle: Vol. 123, No. 1 (2009), p. 1-5
    DDC: 610
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  • 2
    ISBN: 9789819943463
    Language: English
    Pages: 1 Online-Ressource(XI, 250 p. 81 illus., 78 illus. in color.)
    Edition: 1st ed. 2023.
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Parallel Title: Erscheint auch als
    Keywords: Control engineering. ; System theory. ; Control theory. ; Computational intelligence.
    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.
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