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Advances in Fuzzy Control

  • Book
  • © 1998

Overview

Editors:
  1. Dimiter Driankov

    1. Department of Computer Science, University of Linköping, Linköping, Sweden

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    You can also search for this editor in PubMed   Google Scholar

  2. Rainer Palm

    1. Corporate Technology Information and Communications, Dept. ZT IK4, Siemens AG, Munich, Germany

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • State-of-the-art description of the fuzzy approach to modern nonlinear control
  • Shows clearly the relationship between fuzzy and conventional control and the variety of ways in which the two enrich eachother

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

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Table of contents (15 chapters)

  1. Front Matter

    Pages I-VIII
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  2. Introduction

    1. Introduction

      • Dimiter Driankov, Rainer Palm
      Pages 1-10

  3. Stability Analysis of Fuzzy Models

    1. Global Stability Analysis of Second-Order Fuzzy Systems

      • J. Aracil, F. Gordillo, T. Álamo
      Pages 11-31

    2. Quadratic Stability of Continuous-Time Fuzzy Control Systems

      • S. G. Cao, N. W. Rees, G. Feng
      Pages 33-65

    3. Fuzzy Stability Analysis of Fuzzy Systems: A Lyapunov Approach

      • J. P. Marin
      Pages 67-101

  4. Inverse Fuzzy Models

    1. Inverse Fuzzy Process Models for Robust Hybrid Control

      • M. Fischer, R. Isermann
      Pages 103-127

    2. Inverse Fuzzy Model Based Predictive Control

      • R. Babuška, J. M. Sousa, H. B. Verbruggen
      Pages 129-154

  5. Adaptive Fuzzy Control

    1. Stable Adaptive Control Using Fuzzy Systems and Neural Networks

      • Jeffrey T. Spooner, Kevin M. Passino
      Pages 155-187

    2. An Adaptive Fuzzy Sliding-Mode Controller

      • R. G. Berstecher, R. Palm, H. Unbehauen
      Pages 189-223

    3. Discrete-Time Adaptive Fuzzy Logic Control of Feedback Linearizable Systems

      • S. Jagannathan
      Pages 225-261

    4. Fuzzy Model Reference Learning Control

      • J. R. Layne, K. M. Passino
      Pages 263-282

  6. Predictive Fuzzy Control

    1. Development of a Fuzzy Relational-Based Predictive Controller

      • Mary M. Bourke, D. Grant Fisher
      Pages 283-315

    2. A Simplified Fuzzy Relational Structure for Adaptive Predictive Control

      • J. Valente de Oliveira, J. M. Lemos
      Pages 317-336

    3. Predictive Control Based on a Fuzzy Model

      • Igor Škrjanc, Katarina Kavšek-Biasizzo, Drago Matko
      Pages 337-356

  7. Gain Scheduled Fuzzy Control

    1. Transient Performance, Robustness and Off-Equilibrium Linearisation in Fuzzy Gain Scheduled Control

      • Tor A. Johansen, Kenneth J. Hunt, Peter J. Gawthrop
      Pages 357-375

    2. Design of Fuzzy Gain Schedulers

      • R. Palm, D. Driankov
      Pages 377-417

  8. Back Matter

    Pages 418-421
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Keywords

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.

Editors and Affiliations

  • Department of Computer Science, University of Linköping, Linköping, Sweden

    Dimiter Driankov

  • Corporate Technology Information and Communications, Dept. ZT IK4, Siemens AG, Munich, Germany

    Rainer Palm

Bibliographic Information

  • Book Title: Advances in Fuzzy Control

  • Editors: Dimiter Driankov, Rainer Palm

  • Series Title: Studies in Fuzziness and Soft Computing

  • DOI: https://doi.org/10.1007/978-3-7908-1886-4

  • Publisher: Physica Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1998

  • Softcover ISBN: 978-3-662-11053-9Published: 13 July 2013

  • eBook ISBN: 978-3-7908-1886-4Published: 17 April 2013

  • Series ISSN: 1434-9922

  • Series E-ISSN: 1860-0808

  • Edition Number: 1

  • Number of Pages: VIII, 421

  • Number of Illustrations: 52 b/w illustrations

  • Topics: Artificial Intelligence, Pattern Recognition, Complexity, IT in Business

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