Model based fuzzy control
Subtitle: fuzzy gain schedulers and sliding mode fuzzy controllers
By: Rainer Palm, Dimiter Driankov, Hans Hellendoorn.
Contributors: Driankov, Dimiter.; Hellendoorn, Hans.
Publisher: Springer
Published: 1997
Place of publication: Berlin; New York
Language: eng
Number of pages: 184
Subjects: Automatic control; Fuzzy systems
Description: Model based fuzzy control uses a given conventional or fuzzy open loop model of the plant under control to derive the set of fuzzy if-then rules for the fuzzy controller. Of central interest are the stability, performance, and robustness properties of the resulting closed loop system involving a conventional or fuzzy model and a fuzzy controller.

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 properties superior to 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.

. A comprehensive and up-to-date treatment of model based fuzzy control and its relationship to conventional control, the text is intended to serve as a guide for scientists and practitioners and to provide introductory material on fuzzy control for courses in control theory.
Notes: Includes bibliographical references (p. [175]-177) and index.
Includes bibliographical references and index.