Model based fuzzy control
fuzzy gain schedulers and sliding mode fuzzy controllers
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Contributions
- Driankov, Dimiter. - Contributor
- Hellendoorn, Hans. - Contributor
Publication
1997 - Springer, Berlin
Language
English
Word Count
46,000 words, Guess
Page Count
184 pages
Identifiers
- Open LibraryOL1007649M
- ISBN-103540614710
- OCLC Control Number35762782
- Library of Congress Control Number96047571
- Goodreads4531089
Classifications
- DDC629.8/9
- LCCTJ213 .P222 1997
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.
Subjects
Topics
Other Editions
- Model based fuzzy control
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