DocumentCode
1683535
Title
A on-line rule tuning grey prediction 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
1316
Lastpage
1321
Abstract
An on-line rule tuning grey prediction fuzzy control system is presented, which contains the advantages of grey prediction, fuzzy theory and the on-line tuning algorithm. The on-line rule tuning grey prediction fuzzy control system structure is constructed so that the rise time and the overshoot of the controlled system can be maintained simultaneously
Keywords
control system synthesis; fuzzy control; grey systems; tuning; fuzzy theory; grey predictor; online rule tuning grey prediction fuzzy control system design; Business; Control systems; Electrical equipment industry; Feedback; Fuzzy control; Fuzzy systems; Management information systems; Process control; Size control; Supervised learning;
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.2002.1007685
Filename
1007685
Link To Document