Model Based Fuzzy Control - Fuzzy Gain Schedulers and Sliding Mode Fuzzy Controllers (Hardcover, 1997 ed.)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Release date:	December 1996
First published:	December 1996
Authors:	Rainer Palm
Foreword by:	K.M. Passino
Authors:	Dimiter Driankov • Hans Hellendoorn
Dimensions:	235 x 155 x 12mm (L x W x T)
Format:	Hardcover
Pages:	186
Edition:	1997 ed.
ISBN-13:	978-3-540-61471-5
Categories:	Books > Science & Mathematics > Mathematics > Applied mathematics > Fuzzy set theory Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	3-540-61471-0
Barcode:	9783540614715

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