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Titlebook: Control and Filtering of Fuzzy Systems Under Communication Channels; Xiao-Heng Chang,Jun Xiong,Bo Wu Book 2023 The Editor(s) (if applicabl

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书目名称Control and Filtering of Fuzzy Systems Under Communication Channels
编辑Xiao-Heng Chang,Jun Xiong,Bo Wu
视频video
概述Comprehensively discusses the fuzzy control and filtering problem with various network-induced phenomena.Provides novel techniques and interesting results for analysis and synthesis of nonlinear syste
图书封面Titlebook: Control and Filtering of Fuzzy Systems Under Communication Channels;  Xiao-Heng Chang,Jun Xiong,Bo Wu Book 2023 The Editor(s) (if applicabl
描述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.
出版日期Book 2023
关键词T-S fuzzy models; Networked systems; Signal transmission; Communication constraints; Linear matrix inequ
版次1
doihttps://doi.org/10.1007/978-981-99-4346-3
isbn_softcover978-981-99-4348-7
isbn_ebook978-981-99-4346-3
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Book 2023zy 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
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Introduction and Preview,agi–Sugeno (T–S) fuzzy model and some interesting results have been published in the open literature. In this monograph, some novel advances on the study of nonlinear networked systems based on T–S fuzzy model will be given. Firstly, the various robust control strategies for nonlinear networked syst
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Fuzzy Robust , Control with Dynamic Quantization, transmission to reduce the communication burden. Firstly, the robust . control is addressed for uncertain discrete-time T–S fuzzy systems with the control input quantization via a two-step design approach and the fuzzy Lyapunov functional method. Secondly, a new two-step strategy is proposed to onl
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https://doi.org/10.1007/978-3-658-17033-2nd measurement output quantization on continuous-time T–S fuzzy systems, the resilient . control problem is solved based on two descriptor representation approaches, and a novel adjusting rule is given for dynamic quantizers’ parameters. Finally, some examples are provided to show the feasibility an
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Vorausschauender Motion-Cueing-Algorithmus, in which the measurement output and the performance output signals of the system are quantized by two dynamic quantizers. And the conditions are given to ensure the filtering error system is asymptotically stable with the prescribed . performance index. Finally, some examples are given to demonstra
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