Controlling chaotic system by RBF neural networks nonlinear compensator

A nonlinear compensation controller with RBF neural networks was developed, a hybrid control technique for chaotic system based on linear state feedback was presented. The chaotic behavior of controlled system could be directed to the desired targets or periodic trajectory. The effectiveness of the proposed method was demonstrated through numerical simulations on the chaotic Lorenz equation.