Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Design of a Fuzzy Controller Using Genetic Algorithms Employing Random Signal-Based Learning

랜덤 신호 기반 학습의 유전 알고리즘을 이용한 퍼지 제어기의 설계

  • 한창욱 (영남대학교 전자공학과) ;
  • 박정일 (영남대학교 전자정보공학과)
  • Published : 2001.02.01
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Abstract

Traditional genetic algorithms, though robust, are generally not the most successful optimization algorithm on only particular domian. Hybridizing a genetic algorithm with other algorithms can produce better performance than both the genetic algorithm and the other algorithms. This paper describes the application of random signal-based learning to a genetic algorithm in order to get well tuned fuzzy rules. The key of tis approach is to adjust both the width and the center of membership functions so that the tuned rule-based fuzzy controller can generate the desired performance. The effectiveness of the proposed algorithm is verified by computer simulation.

Keywords

References

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