Control and Filtering of Fuzzy Systems Under Communication Channels

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.

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 systems Offers simple and feasible solutions to controller and filter design in terms of linear matrix inequalities

Autorentext

Xiao-Heng Chang is a Professor with the School of Information Science and Engineering, Wuhan University of Science and Technology, Wuhan, China. He is also a Chutian Scholars Distinguished Professor of Hubei Province, China. Prof. Chang is an Associate Editor of Applied Mathematics and Computation, International Journal of Control, Automation, and Systems, and Transactions of the Institute of Measurement and Control, and an Academic Editor of Mathematical Problems in Engineering. He is also an Editorial Board Member of International Journal of Modelling, Identification and Control. Zhi-Min Li is an Associate Professor at School of Electronic and Control Engineering, North China Institute of Aerospace Engineering, China.

Inhalt
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.