Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems (Paperback, 1st ed. 2022)

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.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Systems, Decision and Control, 385
Release date:	August 2022
First published:	2022
Authors:	Xiaojie Su • Yao Wen • Yue Yang • Peng Shi
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	313
Edition:	1st ed. 2022
ISBN-13:	978-3-03-081216-4
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General Promotions
LSN:	3-03-081216-2
Barcode:	9783030812164

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