Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems

ISBN-13: 9783030812133 / Angielski / Twarda / 2021 / 313 str.

Xiaojie Su; Yao Wen; Yue Yang

Recenzje

"From the mathematical point of view it is worth mentioning that almost all results are presented as Theorems, followed by proofs and illustrative application examples. This aspect emphasizes the pedagogical aspects and qualities of the book. Specialists interested in fuzzy control as a possible option for 'intelligent control' will find in this book a genuine handbook with illustrations. Especially to them ... the book is warmly recommended." (Vladimir Rasvan, zbMATH 1480.93005, 2022)

Spis treści

Introduction.- Stabilization Synthesis of T-S Fuzzy Delayed Systems.- Output Feedback Control of Fuzzy Stochastic Systems.- Output Feedback Control of Fuzzy Switching Systems.- Dissipative Filtering of Fuzzy Switched Systems.- Fault Detection for Switched Stochastic Systems.- Reliable Filtering for T-S Fuzzy Time-Delay Systems.- Reduced-Order Model Approximation of Switched Systems.- Model Reduction of Time-Varying Delay Fuzzy Systems.- Model Approximation of Fuzzy Switched Systems.- Reduced-Order Filter Design of Fuzzy Stochastic Systems.- Dissipative Event-Triggered Fuzzy Control of Truck-Trailer Systems.- Event-Triggered Fuzzy Control of Inverted Pendulum Systems.- Conclusion and Further Work.

Blurb

This book aims to introduce the state-of-the-art research of stability/performance analysis and optimal synthesis methods for fuzzy-model-based systems. A series of problems are solved with new approaches of design, analysis and synthesis of fuzzy systems, including stabilization control and stability analysis, dynamic output feedback control, fault detection filter design, and reduced-order model approximation. Some efficient techniques, such as Lyapunov stability theory, linear matrix inequality, reciprocally convex approach, and cone complementary linearization method, are utilized in the approaches. This book is a comprehensive reference for researchers and practitioners working on intelligent control, model reduction, and fault detection of fuzzy systems, and is also a useful source of information for senior undergraduates and graduates in these areas. The readers will benefit from some new concepts and methodologies with theoretical and practical significance in system analysis and control synthesis.