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A Design of Fuzzy Controller with Optimal Rule Using Genetic Algorithm

  • 이영석 (경북대학교 전기공학과) ;
  • 김성식 (경북대학교 전기공학과) ;
  • 서보혁 (경북대학교 전기공학과)
  • Lee, Young-Seog (Department of Electrical Kyung pook National University) ;
  • Kim, Sung-Sik (Department of Electrical Kyung pook National University) ;
  • Seo, Bo-Hyeok (Department of Electrical Kyung pook National University)
  • 발행 : 1996.11.16

초록

A fuzzy network using genetic algorithm is investigated in the context of control for finite dimensional nonlinear discrete systems. The proposed FN(Fuzzy Network) constructed to identify various parameter of fuzzy control is used for the nonlinear system control. Each of two FN, presented FN control system is based on a framework of closed loop control. A proposed FNN model trains using the modeling error and the closed loop error. That case study shows that the presented FN model and closed loop control system is very useful in practical sense.

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