DocumentCode
1640459
Title
Design the T-S fuzzy controller for a class of T-S fuzzy models via genetic algorithm
Author
Sun, Chein-Chung ; Chung, Hung-Yuan ; Chang, Wen-Jer
Author_Institution
Dept. of Electr. Eng., Nat. Central Univ., Chung-li, Taiwan
Volume
1
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
278
Lastpage
283
Abstract
A simple Takagi-Sugeno (TS) fuzzy controller design method is proposed, which is based on the genetic algorithm (GA) and generalized inverse theory. The eigenvalues problems of LMI could be implemented by this approach. The proposed method can automatically seek the feedback gains without complex mathematical derivations. In this paper, we implement the TS fuzzy controller design problems in an alternative way
Keywords
eigenvalues and eigenfunctions; feedback; fuzzy control; genetic algorithms; inverse problems; matrix algebra; nonlinear dynamical systems; SISO systems; Takagi Sugeno model; eigenvalues; feedback gains; fuzzy control; generalized inverse theory; genetic algorithm; linear matrix inequality; nonlinear dynamic systems; Algorithm design and analysis; Automatic control; Design methodology; Equations; Fuzzy control; Fuzzy systems; Genetic algorithms; Linear matrix inequalities; Mathematical model; Stability analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location
Honolulu, HI
Print_ISBN
0-7803-7280-8
Type
conf
DOI
10.1109/FUZZ.2002.1005000
Filename
1005000
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