Model Based Fuzzy Control - Fuzzy Gain Schedulers and Sliding Mode Fuzzy Controllers (Paperback, Softcover reprint of the original 1st ed. 1997)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Release date:	December 2010
First published:	1997
Authors:	Rainer Palm
Foreword by:	K.M. Passino
Authors:	Dimiter Driankov • Hans Hellendoorn
Dimensions:	235 x 155 x 10mm (L x W x T)
Format:	Paperback
Pages:	186
Edition:	Softcover reprint of the original 1st ed. 1997
ISBN-13:	978-3-642-08262-7
Categories:	Books > Computing & IT > Applications of computing > Pattern recognition Books > Reference & Interdisciplinary > Communication studies > Information theory > Cybernetics & systems theory Books > Professional & Technical > Technology: general issues > Technical design > Computer aided design (CAD) Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General Promotions
LSN:	3-642-08262-9
Barcode:	9783642082627

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