제어로봇시스템학회:학술대회논문집
- 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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- Pages.215-218
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- 1997
신경회로망을 이용한 비선형 플랜트의 적응제어
Adaptive controls for non-linear plant using neural network
초록
A dynamic back-propagation neural network is addressed for adaptive neural control system to approximate non-linear control system rather than static networks. It has the capability to represent the approximation of nonlinear system without mathematical analysis and to carry out the on-line learning algorithm for real time application. The simulated results show fast tracking capability and adaptive response by using dynamic back-propagation neurons.