Fuzzy Control Systems Design and Analysis
A Linear Matrix Inequality Approach
(Sprache: Englisch)
Fuzzy Control, die Steuerung von Prozessen auf der Grundlage von Fuzzy Logic, wird in diesem Werk auf hohem Niveau besprochen. Die Autoren führen die Anwendung linearer Matrixungleichungen in dieses Gebiet ein und diskutieren hier Designbeispiele aus der...
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Fuzzy Control, die Steuerung von Prozessen auf der Grundlage von Fuzzy Logic, wird in diesem Werk auf hohem Niveau besprochen. Die Autoren führen die Anwendung linearer Matrixungleichungen in dieses Gebiet ein und diskutieren hier Designbeispiele aus der Robotik und der Steuerung chaotischer Systeme.
Klappentext zu „Fuzzy Control Systems Design and Analysis “
A comprehensive treatment of model-based fuzzy control systemsThis volume offers full coverage of the systematic framework for the stability and design of nonlinear fuzzy control systems. Building on the Takagi-Sugeno fuzzy model, authors Tanaka and Wang address a number of important issues in fuzzy control systems, including stability analysis, systematic design procedures, incorporation of performance specifications, numerical implementations, and practical applications.
Issues that have not been fully treated in existing texts, such as stability analysis, systematic design, and performance analysis, are crucial to the validity and applicability of fuzzy control methodology. Fuzzy Control Systems Design and Analysis addresses these issues in the framework of parallel distributed compensation, a controller structure devised in accordance with the fuzzy model.
This balanced treatment features an overview of fuzzy control, modeling, and stability analysis, as well as a section on the use of linear matrix inequalities (LMI) as an approach to fuzzy design and control. It also covers advanced topics in model-based fuzzy control systems, including modeling and control of chaotic systems. Later sections offer practical examples in the form of detailed theoretical and experimental studies of fuzzy control in robotic systems and a discussion of future directions in the field.
Fuzzy Control Systems Design and Analysis offers an advanced treatment of fuzzy control that makes a useful reference for researchers and a reliable text for advanced graduate students in the field.
Inhaltsverzeichnis zu „Fuzzy Control Systems Design and Analysis “
Preface.Acronyms.
Introduction.
Takagi-Sugeno Fuzzy Model and Parallel Distributed Compensation.
LMI Control Performance Conditions and Designs.
Fuzzy Observer Design.
Robust Fuzzy Control.
Optimal Fuzzy Control.
Robust-Optimal Fuzzy Control.
Trajectory Control of a Vehicle with Multiple Trailers.
Fuzzy Modeling and Control of Chaotic Systems.
Fuzzy Descriptor Systems and Control.
Nonlinear Model Following Control.
New Stability Conditions and Dynamic Feedback Designs.
Multiobjective Control via Dynamic Parallel Distributed Compensation.
T-S Fuzzy Model as Universal Approximator.
Fuzzy Control of Nonlinear Time-Delay Systems.
Index.
Autoren-Porträt von Kazuo Tanaka, Hua O. Wang
KAZUO TANAKA is Professor in the Department of Mechanical Engineering and Intelligent Systems at the University of Electro-Communications in Tokyo, Japan.HUA O. WANG is Professor in the Department of Electrical and Computer Engineering at Duke University in Durham, North Carolina.
Bibliographische Angaben
- Autoren: Kazuo Tanaka , Hua O. Wang
- 2001, 1. Auflage, XIV, 306 Seiten, mit Abbildungen, Maße: 24,2 cm, Gebunden, Englisch
- Verlag: Wiley & Sons
- ISBN-10: 0471323241
- ISBN-13: 9780471323242
Sprache:
Englisch
Pressezitat
"...interesting as a source of new ideas leading to applied solutions" ( International Journal of Adaptive Control and Signal Processing , Vol.19, No.1, February 2005)
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