Fuzzy Control Systems Design and Analysis (PDF)
A Linear Matrix Inequality Approach
(Sprache: Englisch)
A comprehensive treatment of model-based fuzzy control
systems
This 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...
systems
This 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...
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A comprehensive treatment of model-based fuzzy control
systems
This 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.
systems
This 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 (PDF)“
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 MechanicalEngineering 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
- 2004, 1. Auflage, 320 Seiten, Englisch
- Verlag: John Wiley & Sons
- ISBN-10: 0471465224
- ISBN-13: 9780471465225
- Erscheinungsdatum: 24.03.2004
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