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Fuzzy Modeling and Fuzzy Control

  • Huaguang Zhang
  • Derong Liu

Part of the Control Engineering book series (CONTRENGIN)

About this book

Introduction

Fuzzy logic methodology has been proven effective in dealing with complex nonlinear systems containing uncertainties that are otherwise difficult to model. Technology based on this methodology has been applied to many real-world problems, especially in the area of consumer products. This book presents the first unified and thorough treatment of fuzzy modeling and fuzzy control, providing necessary tools for the control of complex nonlinear systems.

Based on three types of fuzzy models—the Mamdani fuzzy model, the Takagi–Sugeno fuzzy model, and the fuzzy hyperbolic model—the book addresses a number of important issues in fuzzy control systems, including fuzzy modeling, fuzzy inference, stability analysis, systematic design frameworks, robustness, and optimality. The authors develop several advanced control schemes, such as the fuzzy model-based generalized predictive control scheme, the fuzzy adaptive control scheme based on fuzzy basis function vectors, the fuzzy control scheme based on fuzzy performance evaluators, and the fuzzy sliding-mode control scheme. Careful consideration is given to questions concerning model complexity, model precision, and computing time.

In addition to being an excellent reference for electrical, computer, chemical, industrial, civil, manufacturing, mechanical and aeronautical engineers, the book may also be appropriate for classroom use in a graduate course in electrical engineering, computer engineering, and computer science. Applied mathematicians, control engineers, computer scientists, and physicists will benefit from the presentation as well.

Keywords

Analysis complexity data analysis electrical engineering filter fuzzy fuzzy control fuzzy set model modeling stability

Authors and affiliations

  • Huaguang Zhang
    • 1
  • Derong Liu
    • 2
  1. 1.School of Information Science and EngineeringNortheastern UniversityShenyang, LiaoningPeople’s Republic of China
  2. 2.Department of Electrical and Computer EngineeringUniversity of Illinois at ChicagoChicagoUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-0-8176-4539-7
  • Copyright Information Birkhäuser Boston 2006
  • Publisher Name Birkhäuser Boston
  • eBook Packages Engineering
  • Print ISBN 978-0-8176-4491-8
  • Online ISBN 978-0-8176-4539-7
  • Series Print ISSN 1574-0463
  • Buy this book on publisher's site