摘要
以OGY法作为混沌控制策略对径向基函数(RBF)神经网络进行训练,通过参数扰动模型输出得到控制混沌运功的小扰动信号作为混沌控制器。并以Henon映射的混沌行为为基础进行仿真模拟,结果表明该方法的有效性。
The RBF neural network is trained by using OGY method as the chaos control strategy, and small disturbance signal of controlling the chaotic motion, which is obtained through the outputs of parameter perturbation model, is set as the chaotic controller.Meanwhile, the analogue simulation is carried out based on the chaotic behavior of Henon mapping, and the results show that the method is effective.
出处
《机械研究与应用》
2015年第2期157-160,166,共5页
Mechanical Research & Application
