Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Controller Design Using a fuzzy Theory and Neural Network

퍼지이론과 신경회로망의 합성진 의한 제어기 설계

  • 오종인 (홍익대학교 전기제어공학과) ;
  • 이기성 (홍익대학교 전기제어공학과) ;
  • 조현철 (경북전문대학 전자과)
  • Published : 1999.07.19
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Abstract

A position control algorithm for a inverted pendulum is studied. The proposed algorithm is based on a fuzzy theory and Generalized Radial Basis Function(GRBF). The conventional fuzzy methods need expert's knowledges or human experiences. The GRBF, which is an optimization algorithm, tunes automatically the input-output membership parameters and fuzzy rules. The simulation is presented to illustrate the approaches.

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