ENGLISH

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

By Dr. Hans Hellendoorn , Dr. Rainer Palm , Prof. Dr. Dimiter Driankov (auth.)

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
1997
ISBN
978-3-642-08262-7, 978-3-662-03401-9
DOI
10.1007/978-3-662-03401-9
Language
english
Format
PDF
Filesize
5 MB (5417774 bytes)
Edition
1
Pages
186\194
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
CAE) and Design;Special Purpose and Application-BaComputer-Aided Engineering (CADMechatronics;ComplexityRobotics

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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