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Model Based Fuzzy Control

Fuzzy Gain Schedulers and Sliding Mode Fuzzy Controllers

  • Book
  • © 1997

Overview

Authors:
  1. Rainer Palm

    1. Siemens AG, München, Germany

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  2. Hans Hellendoorn

    1. Siemens AG, München, Germany

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  3. Dimiter Driankov

    1. University of Linköping, Linköping, Sweden

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Table of contents (5 chapters)

  1. Front Matter

    Pages I-XIII
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  2. Introduction to Model Based Fuzzy Control

    • Rainer Palm, Hans Hellendoorn, Dimiter Driankov
    Pages 1-36

  3. The FLC as a Nonlinear Transfer Element

    • Rainer Palm, Hans Hellendoorn, Dimiter Driankov
    Pages 37-73

  4. Model Based Design of Sliding Mode FLC

    • Rainer Palm, Hans Hellendoorn, Dimiter Driankov
    Pages 75-116

  5. Model Based Design of Takagi—Sugeno FLCs

    • Rainer Palm, Hans Hellendoorn, Dimiter Driankov
    Pages 117-149

  6. Examples

    • Rainer Palm, Hans Hellendoorn, Dimiter Driankov
    Pages 151-174

  7. Back Matter

    Pages 175-185
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Keywords

About this book

Model Based Fuzzy Control uses a given conventional or fuzzy open loop model of the plant under control to derive the set of fuzzy rules for the fuzzy controller. Of central interest are the stability, performance, and robustness of the resulting closed loop system. The major objective of model based fuzzy control is to use the full range of linear and nonlinear design and analysis methods to design such fuzzy controllers with better stability, performance, and robustness properties than non-fuzzy controllers designed using the same techniques. This objective has already been achieved for fuzzy sliding mode controllers and fuzzy gain schedulers - the main topics of this book. The primary aim of the book is to serve as a guide for the practitioner and to provide introductory material for courses in control theory.

Authors and Affiliations

  • Siemens AG, München, Germany

    Rainer Palm, Hans Hellendoorn

  • University of Linköping, Linköping, Sweden

    Dimiter Driankov

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