The Transactions of the Korean Institute of Electrical Engineers (대한전기학회논문지)

The Korean Institute of Electrical Engineers (대한전기학회)
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Pole-Zero Assignment Self-Tuning Controller Using Neural Network

신경회로망 기법을 이용한 극-영점 배치 자기 동조 제어기

  • 구영모 (연세대 대학원 전기공학과) ;
  • 이윤섭 (연세대 대학원 전기공학과) ;
  • 장석호 (연세대 대학원 전기공학과) ;
  • 우광방 (연세대 공대 전기공학과)
  • Published : 1991.02.01

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Abstract

This paper develops a pole-zero assignment self-tuning regulator utilizing the method of a neural network in the plant parameter estimation. An approach to parameter estimation of the plant with a Hopfield neural network model is proposed, and the control characteristics of the plant are evaluated by means of a simulation for a second-order linear time invariant plant. The results obtained with those of Exponentially Weighted Recursive Least Squares(EWRLS) method are also shown.

Keywords