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

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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.

Mehr Informationen
ReiheStudies in Systems, Decision and Control
ISBN 9783030812164
Sprache Englisch
Ausgabe 1st ed. 2022
Erscheinungsdatum 19.08.2022
Umfang 313 Seiten
Genre Technik/Elektronik, Elektrotechnik, Nachrichtentechnik
Format Taschenbuch
Verlag Springer International Publishing
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