한국지능시스템학회:학술대회논문집 (Proceedings of the Korean Institute of Intelligent Systems Conference)

한국지능시스템학회 (Korean Institute of Intelligent Systems)
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Design of digital fuzzy-model-based controllers by using genetic algorithms

  • 장욱 (연세대학교 공과대학 전기및전자공학과) ;
  • 주영훈 (군산대학교 공과대학 전자정보공학부) ;
  • 박진배 (연세대학교 공과대학 전기및전자공학과)
  • Chang, Wook (Dept. of Electrical and Electronic Eng., Yonsei Univ.) ;
  • Joo, Young-Hoon (School of Electronic and Information Eng., Kunsan Univ.) ;
  • Park, Jin-Bae (Dept. of Electrical and Electronic Eng., Yonsei Univ.)
  • 발행 : 2001.05.01
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초록

This paper presents a new global state-matching intelligent digital redesign method for nonlinear systems by using genetic algorithms (GAs). The proposed method results in global matching of the states of the analogously controlled system with those of the digitally controlled system while the conventional intelligent digital redesign method does not. The proposed method provides a new approach for the digital redesign of a class of fuzzy-model-based controllers.

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