Title :
A self-learning genetic fuzzy control system design
Author :
Feng, Hsuan-Ming ; Wong, Ching-Chang
Author_Institution :
Dept. of Manage. Inf. Syst., Yung-Ta Inst. of Technol. & Commerce, Pingtung, Taiwan
fDate :
6/24/1905 12:00:00 AM
Abstract :
A self-learning structure is proposed such that the controlled system has the desired output without any expert knowledge. A genetic algorithm extracts necessary rules of fuzzy controllers and then a parameter tuning algorithm combines reinforcement learning and decision making mechanism
Keywords :
control system synthesis; decision theory; fuzzy control; genetic algorithms; learning (artificial intelligence); self-adjusting systems; tuning; decision making; genetic algorithm; parameter tuning algorithm; reinforcement learning; self-learning genetic fuzzy control system design; self-learning structure; Business; Control systems; Decision making; Fuzzy control; Fuzzy systems; Genetic algorithms; Learning; Management information systems; Space exploration; Tuning;
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7278-6
DOI :
10.1109/IJCNN.2002.1007684
