Articoli correlati a Intelligent Control, Filtering and Model Reduction...

Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems: 385 - Rilegato

Libro 338 di 378: Studies in Systems, Decision and Control

Su, Xiaojie; Wen, Yao; Yang, Yue; Shi, Peng

 
9783030812133: Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems: 385
Rilegato
ISBN 10: 3030812138 ISBN 13: 9783030812133
Casa editrice: Springer-Verlag GmbH, 2021

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Dalla quarta di copertina

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.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Springer-Verlag GmbH
Data di pubblicazione
2021
Lingua
Inglese
ISBN 10 
3030812138
ISBN 13 
9783030812133
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
336
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