In this paper an adaptive neural network predicative control algorithm is presented on the basis of the BP neural network model of nonlinear. In the algorithm

Clarke one - step condition is chosen to be the optimal function and linearization method is used. As the neural network has a good property of nonlinear approach and self - learning

our controller is well self- adaptive and able to coned a nonlinear system Simulation results show the effectiveness of our algorithm.