一种基于神经网络的混沌控制方法

A Method for Controlling Chaos Based on Neural Networks

将神经网络 (NN)与内模控制 (IMC)相结合 ,提出了一种用基于BP神经网络的内模控制进行混沌抑制的方法 ,该方法既具有内模控制的特点 ,又引入了神经网络的在线自校正机制。应用所提出的方法 ,针对Duffing振荡器的混沌控制问题进行了仿真研究 ,仿真结果验证了该方法的有效性 ,同时还表明该方法具有很好的鲁棒性与自适应能力。

With combination of artificial neural networks (NN) and internal model control (IMC), an internal model control scheme based on BP neural networks is proposed for controlling chaos. The scheme not only has the feature of IMC, but also adopts the self - tuning mechanism of NN. The simulation results for controlling chaos of Duffing oscillator that show the method has good performance, especially, has strong robustness and adaptability.