Title :
Optimization of fused fuzzy systems via genetic algorithms
Author :
Chan, P.T. ; Rad, A.B. ; Tsang, K.M.
Author_Institution :
Dept. of Electr. Eng., Hong Kong Polytech. Univ., China
fDate :
6/1/2002 12:00:00 AM
Abstract :
In this paper, the problem of optimization of fused fuzzy systems via genetic algorithms is addressed. The proposed architecture separates a large fuzzy rule optimization problem into a series of more manageable and smaller problems through rule-table transformation. The algorithm is applied to the cart-pole system to demonstrate its characteristics
Keywords :
fuzzy control; fuzzy systems; genetic algorithms; knowledge based systems; nonlinear control systems; pendulums; cart-pole system; fused fuzzy controller structure; fused fuzzy systems optimisation; fuzzy rule optimization problem; genetic algorithms; inverted pendulum; open-loop unstable nonlinear control problem; rule-table transformation; Frequency selective surfaces; Fuzzy neural networks; Fuzzy sets; Fuzzy systems; Genetic algorithms; Helium; Input variables; Mutual coupling; Nonlinear systems; Tuning;
Journal_Title :
Industrial Electronics, IEEE Transactions on
DOI :
10.1109/TIE.2002.1005396
