The Study on the Indirect Adaptive Control of Nonlinear System using Neural Network

신경회로망을 이용한 비선형 동적인 시스템의 효과적인 인식모델에 관한 연구

In this paper, we demeonstrate that neural networks can be used effectively for the control of nonlinear dynamical system. To adaptively control a plant, there are two distinct approach. these are direct control and indirect control. Both direct and Indirect adaptive control are trained using static back propagation. In indirect, using the resulting identification model, which contains neural networks and linear dynamical elements as subsystems, the parameters of the controller are adjusted.