, - and Analysis A Inequality Approach

Description

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. 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.

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.

Table of Contents

  • Preface.
  • Acronyms.
  • Introduction.
  • Takagi-Sugeno Fuzzy Model and Parallel Distributed Compensation.
  • LMI Control Performance Conditions and Designs.
  • Fuzzy Observer Design.
  • Robust .
  • Optimal .
  • Robust-Optimal .
  • 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.
  • of Nonlinear Time-Delay Systems.
  • Index.

Author Information

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.

Reviews

“…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

Get Fuzzy Control Systems Design And Analysis A Linear Matrix Inequality Approach or the other courses from the same one of these categories: , , , , , , for free on Course Sharing Network.

Share Course Fuzzy Control Systems Design And Analysis A Linear Matrix Inequality Approach, Free Download Fuzzy Control Systems Design And Analysis A Linear Matrix Inequality Approach, Fuzzy Control Systems Design And Analysis A Linear Matrix Inequality Approach Torrent, Fuzzy Control Systems Design And Analysis A Linear Matrix Inequality Approach Download Free, Fuzzy Control Systems Design And Analysis A Linear Matrix Inequality Approach Discount, Fuzzy Control Systems Design And Analysis A Linear Matrix Inequality Approach Review, Kazuo Tanaka & Hua Wang – Fuzzy Control Systems Design And Analysis A Linear Matrix Inequality Approach, Fuzzy Control Systems Design And Analysis A Linear Matrix Inequality Approach, Kazuo Tanaka, Hua Wang.

Related Shares