In this paper, we propose the hybrid system identification model and control method using neural networks. Proposed control method performs, for a nonlinear plant with unknown functions, system identification using an adaptive wavelet in a neural netw...
In this paper, we propose the hybrid system identification model and control method using neural networks. Proposed control method performs, for a nonlinear plant with unknown functions, system identification using an adaptive wavelet in a neural network, and then a nonlinear controller is designed with those identified informations. To identify a nonlinear function, which is not directly related to input signals, we can use an adaptive wavelet in a three-layed neural network. In order to verify the usefulness of the proposed method, we simulate the proposed control method with cart pole system.