Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems (Studies in Systems, Decision and Control, #385)

by Xiaojie Su, Yao Wen, Yue Yang, and Peng Shi

0 ratings • 0 reviews • 0 shelved
Book cover for Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems

Bookhype may earn a small commission from qualifying purchases. Full disclosure.

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.
  • ISBN13 9783030812133
  • Publish Date 18 August 2021
  • Publish Status Active
  • Publish Country CH
  • Imprint Springer Nature Switzerland AG
  • Edition 1st ed. 2022
  • Format Hardcover
  • Pages 313
  • Language English