Proceedings of the Korean Society of Machine Tool Engineers Conference (한국공작기계학회:학술대회논문집)
- 2000.10a
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- Pages.135-139
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- 2000
Sliding Mode Control based on Recurrent Neural Network
회귀신경망을 이용한 슬라이딩 모드 제어
Abstract
This research proposes a nonlinear sliding mode control. The sliding mode control is designed according to Lyapunov function. The equivalent control term is estimated by neural network. To estimate the unknown part in the control law in on-line fashion, A recurrent neural network is given as on-line estimator. The stability of the control system is guaranteed owing to the on-line learning ability of the recurrent neural network. It is certificated through simulation results to be applied to nonlinear system that the function approximation and the proposed control scheme is very effective.
Keywords