Control and Filtering of Fuzzy Systems Under Communication Channels

Beschreibung

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.
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

Autor*in

Xiao-Heng Chang

Themen in »Control and Filtering of Fuzzy Systems Under Communication Channels«

T-S fuzzy models Networked systems Signal transmission Communication constraints Linear matrix inequality Dynamic quantization Event-triggeredmechanism Fault detection and fault-tolerant

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