Model Based Fuzzy Control: Fuzzy Gain Schedulers and Sliding Mode Fuzzy Controllers

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Rainer Palm K.M. Passino

Model Based Fuzzy Control

Fuzzy Gain Schedulers and Sliding Mode Fuzzy Controllers

Rainer Palm, K.M. Passino, Dimiter Driankov , Hans Hellendoorn

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English

Springer-Verlag Berlin and Heidelberg GmbH & Co. K
01 December 2010

Automatic control engineering; Computer-aided design (CAD); Artificial intelligence; Expert & knowledge-based systems; Pattern recognition

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.

By: Rainer Palm, Dimiter Driankov, Hans Hellendoorn
Foreword by: K.M. Passino
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Country of Publication: Germany
Edition: Softcover reprint of the original 1st ed. 1997
Dimensions: Height: 235mm, Width: 155mm, Spine: 10mm
Weight: 454g
ISBN: 9783642082627
ISBN 10: 3642082629
Pages: 186
Publication Date: 01 December 2010
Audience: Professional and scholarly , Professional and scholarly , Undergraduate , Undergraduate
Format: Paperback
Publisher's Status: Active

1. Introduction to Model Based Fuzzy Control.- 2. The FLC as a Nonlinear Transfer Element.- 3. Model Based Design of Sliding Mode FLC.- 4. Model Based Design of Takagi—Sugeno FLCs.- 5. Examples.- References.