DocumentCode
2460890
Title
Analysis and design of model based fuzzy control systems
Author
Feng, G. ; Cao, S.G. ; Rees, N.W. ; Cheng, C. R M
Author_Institution
Sch. of Electr. Eng., New South Wales Univ., Kensington, NSW, Australia
Volume
2
fYear
1997
fDate
1-5 Jul 1997
Firstpage
901
Abstract
The analysis and design of fuzzy control systems is addressed in this paper based on the so-called fuzzy dynamic mode. A number of methods for the systematic analysis and design of fuzzy control systems have been summarized. One of the main objectives of this paper is to demonstrate how conventional linear control system theory can be suitably utilized and further developed for fuzzy control system analysis and design
Keywords
H∞ control; Lyapunov methods; control system analysis; control system synthesis; dynamics; fuzzy control; fuzzy set theory; intelligent control; robust control; H∞ control; Lyapunov function; control systems analysis; fuzzy dynamic mode; fuzzy set theory; intelligent control; linear control system theory; model based fuzzy control; robust control; Australia; Control systems; Equations; Fuzzy control; Fuzzy logic; Fuzzy systems; Humans; Nonlinear control systems; Robust stability; Takagi-Sugeno model;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Conference_Location
Barcelona
Print_ISBN
0-7803-3796-4
Type
conf
DOI
10.1109/FUZZY.1997.622829
Filename
622829
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