基于混杂脉冲切换控制的时滞混沌神经网络的镇定

Stabilization of Discrete-Time Delayed Chaotic Neural Networks Via Hybrid Impulsive and Switching Control

针对一类离散时滞混沌神经网络,研究其基于混杂脉冲切换控制的镇定问题.利用切换Lyapunov函数方法和S过程技巧,得到了受控的神经网络的指数稳定判据.该结果反映了脉冲控制和切换控制对闭环系统的稳定性的影响.离散时滞Hopfield混沌神经网络例子表明了所给镇定方法的有效性.

The problem of the stabilization of discrete-time delayed chaotic neural networks via hybrid impulsive and switching control is investigated.By using the switched Lyapunov function method and the S-procedure technique,exponential stability criteria for the controlled neural networks are established.The obtained result characterizes the effects of impulsive control and switching control on the stability of the closed-loop system.A chaotic discrete-time delayed Hopfield neural network is illustrated to show the effectiveness of the proposed stabilization method.