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

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 stabili...

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Bibliographic Details
Main Authors: Su, Xiaojie, Wen, Yao (Author), Yang, Yue (Author), Shi, Peng (Author)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2022, 2022
Edition:1st ed. 2022
Series:Studies in Systems, Decision and Control
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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245 0 0 |a Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems  |h Elektronische Ressource  |c by Xiaojie Su, Yao Wen, Yue Yang, Peng Shi 
250 |a 1st ed. 2022 
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300 |a XXI, 313 p. 81 illus., 8 illus. in color  |b online resource 
505 0 |a 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 
653 |a Control, Robotics, Automation 
653 |a Artificial Intelligence 
653 |a Control and Systems Theory 
653 |a Control engineering 
653 |a Artificial intelligence 
653 |a Robotics 
653 |a Automation 
700 1 |a Wen, Yao  |e [author] 
700 1 |a Yang, Yue  |e [author] 
700 1 |a Shi, Peng  |e [author] 
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520 |a 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