扰动情况下基于RBF网络的混沌系统同步

THE SYNCHRONIZATION OF CHAOTIC SYSTEMS BASED ON RBF NETWORK IN THE PRESENCE OF PERTURBATION

基于RBF网络 ,在扰动存在的情况下 ,对混沌系统的同步和异结构同步问题进行了研究 .研究表明本方法能有效地克服干扰对同步所造成的破坏 ,实现良好的同步效果 .最后 ,利用Lorenz系统进行了仿真 .仿真结果证明了所给方法的有效性 .

Based on RBF neural network, the synchronization and different-structure synchronization of chaotic systems in the presence of perturbation are studied. The proposed method can overcome effectively the disruption of perturbation, and make the chaotic, systems keep synchronous well. At last, Lorenz system is used to vertify the effectiveness of proposed method, and the simulation results confirm it.