The Design of Predictive Controller for Chaotic Nonlinear Systems Using Wavelet Neural Networks

웨이블릿 신경 회로망을 이용한 혼돈 비선형 시스템에 대한 예측 제어기 설계

In this paper, a predictive control method using wavelet neural network for chaotic nonlinear systems is presented. In our method, we use the adjusting method of the parameter for the training a wavelet neural network. The control signals are directly obtained by minimizing the difference between a reference signal and the output of a wavelet neural network. To verify the efficiency of our method, we apply it to the Duffing and the Henon system, which are a representative continuous and discrete time chaotic nonlinear system respectively.