Stability Analysis of Fuzzy-Model-Based Control Systems

Linear-Matrix-Inequality Approach

  • Hak-Keung Lam
  • Frank Hung-Fat Leung

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 264)

Table of contents

  1. Front Matter
  2. Hak-Keung Lam, Frank Hung-Fat Leung
    Pages 1-11
  3. Hak-Keung Lam, Frank Hung-Fat Leung
    Pages 23-58
  4. Hak-Keung Lam, Frank Hung-Fat Leung
    Pages 59-84
  5. Hak-Keung Lam, Frank Hung-Fat Leung
    Pages 85-100
  6. Hak-Keung Lam, Frank Hung-Fat Leung
    Pages 101-122
  7. Hak-Keung Lam, Frank Hung-Fat Leung
    Pages 123-150
  8. Hak-Keung Lam, Frank Hung-Fat Leung
    Pages 151-171
  9. Hak-Keung Lam, Frank Hung-Fat Leung
    Pages 173-190
  10. Hak-Keung Lam, Frank Hung-Fat Leung
    Pages 191-215
  11. Back Matter

About this book

Introduction

In this book, the state-of-the-art fuzzy-model-based (FMB) based control approaches are covered. A comprehensive review about the stability analysis of type-1 and type-2 FMB control systems using the Lyapunov-based approach is given, presenting a clear picture to researchers who would like to work on this field. A wide variety of continuous-time nonlinear control systems such as state-feedback, switching, time-delay and sampled-data FMB control systems, are covered. In short, this book summarizes the recent contributions of the authors on the stability analysis of the FMB control systems. It discusses advanced stability analysis techniques for various FMB control systems, and founds a concrete theoretical basis to support the investigation of FMB control systems at the research level. The analysis results of this book offer various mathematical approaches to designing stable and well-performed FMB control systems. Furthermore, the results widen the applicability of the FMB control approach and help put the fuzzy controller in practice. A wide range of advanced analytical and mathematical analysis techniques will be employed to investigate the system stability and performance of FMB-based control systems in a rigorous manner. Detailed analysis and derivation steps are given to enhance the readability, enabling the readers who are unfamiliar with the FMB control systems to follow the materials easily. Simulation examples, with figures and plots of system responses, are given to demonstrate the effectiveness of the proposed FMB control approaches.

Keywords

fuzzy control fuzzy controller nonlinear control nonlinear control system nonlinear system simulation stability

Authors and affiliations

  • Hak-Keung Lam
    • 1
  • Frank Hung-Fat Leung
    • 2
  1. 1.Division of EngineeringKing’s College LondonLondonUnited Kingdom
  2. 2.Centre for Signal Processing, Department of Electronic and Information EngineeringThe Hong Kong Polytechnic UniversityHong Kong

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-17844-3
  • Copyright Information Springer Berlin Heidelberg 2010
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-17843-6
  • Online ISBN 978-3-642-17844-3
  • Series Print ISSN 1434-9922
  • Series Online ISSN 1860-0808
  • About this book