Title :
Fuzzy optimal controller design based on neural network for nonlinear systems
Author :
Ishigame, Atsushi ; Kawamoto, Shunji ; Taniguchi, Tsuneo
Author_Institution :
Dept. of Electr. Eng., Osaka Prefectural Univ., Sakai, Japan
Abstract :
A method of constructing a fuzzy optimal controller for nonlinear systems is proposed. The method is based on a fuzzy model and is intended to give optimal control using neural networks. In this method, a cost function is introduced in the neural network, and unsupervised learning is performed. The method is applied numerically to the stabilizing control of a one-machine infinite-bus electric power system
Keywords :
control system synthesis; fuzzy control; neural nets; nonlinear control systems; optimal control; controller design; cost function; fuzzy optimal controller; neural network; nonlinear systems; one-machine infinite-bus electric power system; optimal control; unsupervised learning; Control systems; Cost function; Fuzzy control; Fuzzy neural networks; Fuzzy systems; Neural networks; Nonlinear control systems; Nonlinear systems; Optimal control; Power system modeling;
Conference_Titel :
Systems Engineering, 1992., IEEE International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-0734-8
DOI :
10.1109/ICSYSE.1992.236917
