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
fDate :
6/24/1905 12:00:00 AM
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;
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.2002.1007685
