DocumentCode
1683528
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
Volume
2
fYear
2002
fDate
6/24/1905 12:00:00 AM
Firstpage
1310
Lastpage
1315
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location
Honolulu, HI
ISSN
1098-7576
Print_ISBN
0-7803-7278-6
Type
conf
DOI
10.1109/IJCNN.2002.1007684
Filename
1007684
Link To Document