Control of Unknown Chaotic Systems Based on Neural Predictive Control

We introduce the predictive control intothe control of chaotic system and propose a neural network control algorithm based on predictive control. The proposed control system stabilizes the chaotic motion in an unknown chaotic system onto the desired targettrajectory. The proposed algorithm is simple and its convergence speed ismuch higher than existing similar algorithms. The control system can control hyperchaos. We analyze the stability of the control system and prove the convergence property of the neural controller. The theoretic derivation and simulations demonstrate the effectiveness of the algorithm.