Neural network control for nonlinear chaotic motion
非线性系统混沌运动的神经网络控制

A novel method for chaotic control with feed forward backpropagating neural network is presented. Combined input output data obtained from the perturbation parameter model with nonlinear learning algorithm, neural networks are trained to generate the small disturbance control, then to suppress chaotic behaviour, the unstable periodic orbit embedded in the chaotic attractor is drived and directed to a stable fixed point. The numerical simulations on Henon map demonstrate that rapid response and higher accuracy of the nonlinear chaotic system can be obtained based on the proposed control scheme.