제어로봇시스템학회:학술대회논문집
- 1997.10a
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- Pages.215-218
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- 1997
Adaptive controls for non-linear plant using neural network
신경회로망을 이용한 비선형 플랜트의 적응제어
Abstract
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.