Advances in Fuzzy Control

  • Dimiter Driankov
  • Rainer Palm

Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 16)

Table of contents

  1. Front Matter
    Pages I-VIII
  2. Introduction

    1. Dimiter Driankov, Rainer Palm
      Pages 1-10
  3. Stability Analysis of Fuzzy Models

    1. J. Aracil, F. Gordillo, T. Álamo
      Pages 11-31
    2. S. G. Cao, N. W. Rees, G. Feng
      Pages 33-65
  4. Inverse Fuzzy Models

    1. M. Fischer, R. Isermann
      Pages 103-127
    2. R. Babuška, J. M. Sousa, H. B. Verbruggen
      Pages 129-154
  5. Adaptive Fuzzy Control

    1. Jeffrey T. Spooner, Kevin M. Passino
      Pages 155-187
    2. R. G. Berstecher, R. Palm, H. Unbehauen
      Pages 189-223
    3. J. R. Layne, K. M. Passino
      Pages 263-282
  6. Predictive Fuzzy Control

    1. Mary M. Bourke, D. Grant Fisher
      Pages 283-315
    2. J. Valente de Oliveira, J. M. Lemos
      Pages 317-336
    3. Igor Škrjanc, Katarina Kavšek-Biasizzo, Drago Matko
      Pages 337-356
  7. Gain Scheduled Fuzzy Control

    1. Tor A. Johansen, Kenneth J. Hunt, Peter J. Gawthrop
      Pages 357-375
    2. R. Palm, D. Driankov
      Pages 377-417
  8. Back Matter
    Pages 418-421

About this book


Model-based fuzzy control uses a given conventional or a fuzzy open loop of the plant under control in order to derive the set of fuzzy if-then rules constituting the corresponding fuzzy controller. Furthermore, of central interest are the consequent stability, performance, and robustness analysis of the resulting closed loop system involving a conventional model and a fuzzy controller, or a fuzzy model and a fuzzy controller. The major objective of the model-based fuzzy control is to use the full available range of existing linear and nonlinear design of such fuzzy controllers which have better stability, performance, and robustness properties than the corresponding non-fuzzy controllers designed by the use of these same techniques.


Control Theory Fuzzy-Logik Kontrolltheorie Modellierung nichtlinearer Systeme Nonlinear Systems Modelling control fuzzy control fuzzy logic fuzzy system learning networks neural networks

Editors and affiliations

  • Dimiter Driankov
    • 1
  • Rainer Palm
    • 2
  1. 1.Department of Computer ScienceUniversity of LinköpingLinköpingSweden
  2. 2.Corporate Technology Information and Communications, Dept. ZT IK4Siemens AGMunichGermany

Bibliographic information

  • DOI
  • Copyright Information Physica-Verlag Heidelberg 1998
  • Publisher Name Physica, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-662-11053-9
  • Online ISBN 978-3-7908-1886-4
  • Series Print ISSN 1434-9922
  • Buy this book on publisher's site