Learning Control of Multimodal Systems by Fuzzy Automata

  • Kiyoji Asai
  • Seizo Kitajima


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 [1] as a method based on this idea. The proposed method of learning control using fuzzy automata in which the membership function [2] 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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Copyright information

© Plenum Press, New York 1971

Authors and Affiliations

  • Kiyoji Asai
    • 1
  • Seizo Kitajima
    • 2
  1. 1.University of Osaka PrefectureOsakaJapan
  2. 2.Osaka City UniversityOsakaJapan

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