대한전기학회:학술대회논문집 (Proceedings of the KIEE Conference)
- 대한전기학회 1992년도 하계학술대회 논문집 A
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- Pages.231-235
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- 1992
Back-Propagation 신경 회로망을 이용한 비선형 시스템의 자기 학습 제어
Self-learning control of nonlinear system using Back-propagation neural networks.
- Park, C.H. (Dept. of Electrical Eng., Dong-A University) ;
- Song, H.S. (Dept. of Electrical Eng., Dong-A University) ;
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Lee, J.T.
(Dept. of Electrical Eng., Dong-A University) ;
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Park, Y.S.
(Dept. of Computer Science & Statistics., Dong-eui University)
- 발행 : 1992.07.23
초록
A new algorithm is proposed to identify the structure and the parameters of the nonlinear discrete-time plant with only the unknown dynamics and the weak informations about its structure. The proposed algorithm is constructed with the compensation method of weghing values using its previous derivatives and with the efficient technique updating self-learning coefficients. The result in this application is thought to prove the effectiveness of the algorithm proposed in this paper and its superiority to the conventional ones.
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