Model Based Fuzzy Control
Fuzzy Gain Schedulers and Sliding Mode Fuzzy Controllers
Published on 17. April 2013
XIII, 186 pages
978-3-662-03401-9 (ISBN)
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 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.
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Rainer Palm | Dimiter Driankov | Hans Hellendoorn
Model Based Fuzzy Control
Fuzzy Gain Schedulers and Sliding Mode Fuzzy Controllers
Book
12/1996
Springer
€53.49
Shipment within 10-15 days
Persons
Content
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.
