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
fDate :
6/24/1905 12:00:00 AM
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;
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
DOI :
10.1109/FUZZ.2002.1005000
