Learning Control of Multimodal Systems by Fuzzy Automata
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The random search method is well known as an optimization technique by which a global search of multimodal systems can be executed, but its convergence characteristics are not good. In order to improve the convergence characteristics of the random search method, an idea of the modification of the search probability may be used. There is the method of learning control using stochastic automata  as a method based on this idea. The proposed method of learning control using fuzzy automata in which the membership function  is used instead of the probability is more simple in the learning algorithm and able to realize more clear self-organizing operation as compared with that using stochastic automata.
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- 4.H. Hirai, K. Asai and S. Kitajima, “Fuzzy Automaton and Its Application to Learning Control Systems,” Memoirs of the Faculty of Engrg., Osaka City Univ., Vol. 10, Dec. 1968, pp. 67–73.Google Scholar
- 6.H. E. Zellnik, N. E. Sondak and R. S. Davis, “Gradient Search Optimization,” Chem. Engrg. Prog., Vol. 58, No. 8, August 1962, pp. 35–41.Google Scholar