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中国物理学会期刊

基于神经网络的混沌系统鲁棒自适应同步

CSTR: 32037.14.aps.50.2112

NEURAL NERWORK BASED ROBUST ADAPTIVE SYNCHRONIZATION OF A CHAOTIC SYSTEM

CSTR: 32037.14.aps.50.2112
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  • 基于神经网络,研究了两个混沌系统都存在扰动情况下的同步问题.该方法能有效地克服不确定性对同步所造成的破坏,实现了良好的同步效果.针对Lorenz系统进行了数值计算.数值计算结果证明了所给方法的有效性.

     

    Based on the neural network, the synchronization of two chaotic systems with uncertainties is studied.The results show that the approach proposed in this paper can overcome effectively the disruption of perturbation. Lorenz system is used to vertify the effectiveness of the proposed method, and the simulation results confirm it.

     

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