DocumentCode
3314490
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
fYear
1992
fDate
17-19 Sep 1992
Firstpage
165
Lastpage
168
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems Engineering, 1992., IEEE International Conference on
Conference_Location
Kobe
Print_ISBN
0-7803-0734-8
Type
conf
DOI
10.1109/ICSYSE.1992.236917
Filename
236917
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