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
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;
Conference_Titel :
Industrial Electronics, Control and Instrumentation, 1994. IECON '94., 20th International Conference on
Conference_Location :
Bologna
Print_ISBN :
0-7803-1328-3
DOI :
10.1109/IECON.1994.397997
