DocumentCode
291332
Title
A learning algorithm of fuzzy rules using GA for MRACS with time-delay
Author
Shida, Koichiro ; Ochia, H. ; Fujikawa, Hideji ; Yamada, Shin´ichi
Author_Institution
Musashi Inst. of Technol., Tokyo, Japan
Volume
2
fYear
1994
fDate
5-9 Sep 1994
Firstpage
1387
Abstract
By use of fuzzy reasoning, MRACS can be applied to nonlinear systems. Genetic algorithms can be used to get optimal control rules automatically. These rules are remarkably better than hand-constructedones, but the optimizing procedure is time-consuming. In this paper, we try three techniques to simplify the adaptive rules and obtain quasi-optimal parameters rapidly
Keywords
control system synthesis; delays; fuzzy control; genetic algorithms; learning systems; model reference adaptive control systems; nonlinear control systems; optimal control; MRACS; fuzzy reasoning; fuzzy rules; genetic algorithms; learning algorithm; nonlinear systems; optimal control rules; time-delay; Adaptive control; Automatic control; Design methodology; Fuzzy control; Fuzzy reasoning; Genetic algorithms; Nonlinear systems; Process design; Programmable control; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Industrial Electronics, Control and Instrumentation, 1994. IECON '94., 20th International Conference on
Conference_Location
Bologna
Print_ISBN
0-7803-1328-3
Type
conf
DOI
10.1109/IECON.1994.397997
Filename
397997
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