Continuous time nonlinear system identification with wavelet neural networks
动态非线性连续时间系统的小波神经网络辨识

The wavelet neural networks are used for identification of continuous time nonlinear systems. For the improvement of convergent speed and the global optimization in the training of wavelet neural networks, the trust region algorithm is proposed for the training. Then we study the convergence properties about the trust region algorithm. Finally, the simulation results are given to illustrate the efficiency of the method proposed.