Model Based Fuzzy Control

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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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.

• Fuzzy Regelung
• Regelung
• control
• control theory
• fuzzy
• fuzzy control
• fuzzy controller
• gain scheduling
• model
• nichtlineare Regelung
• nonlinear control
• performance
• sliding mode control
• stability
• complexity

• Siemens AG, München, Germany

  Rainer Palm, Hans Hellendoorn

• University of Linköping, Linköping, Sweden

  Dimiter Driankov

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