Hénon混沌同步的自适应逆控制

Adaptive inverse control of Hénon chaotic synchronization

基于自适应逆控制原理,在噪声存在的情况下,提出了一种实现混沌同步的自适应逆控制方法.为此首先简要介绍了控制方法结构,然后利用神经网络算法对被控对象模型进行辨识和训练发送端的控制器.仿真证明该方法能够很好的消除干扰,使得被噪声污染的混沌同步系统能够保持良好的同步.此外自适应逆控制是开环控制,具有很好的实施性.

Motivated by neural network theory, a general control construction approach based on adaptive inverse control theory is proposed for achieving chaotic synchronization under the condition of noise perturbation. First, the control method structure is introduced. Next, based on the neural network algorithm, the identified controlled device and learned sending controller are presented to construct the adaptive inverse controller construction. Thirdly, the feasibility of noise elimination and chaotic synchronization are verified in the presence of perturbation by using the proposed approach. In addition, adaptive inverse control is an open-loop controlling system with easy implementation for field-test.