间歇性和滞后效应策略的不连续神经网络同步分析

Synchronization Analysis of Discontinuous Neural Networks Based on Intermittence and Lag Effect Strategy

研究时滞线性耦合不连续神经网络的同步控制问题。运用李雅普诺夫稳定性理论和微分方程比较定理,提出一种基于间歇性和滞后效应策略的控制器,获得时滞线性耦合不连续神经网络的同步准则。最后进行数值模拟,从而验证所得理论结果的有效性。

In this paper,the synchronization control problem of time-delay linearly coupled discontinuous neural networks was studied.By using Lyapunov stability theory and comparison theorem of differential equations,a controller based on the strategy of intermittence and lag effect was proposed,and the synchronization criteria of time-delay linearly coupled discontinuous neural networks was obtained.Finally,numerical simulation was carried out to verify the validity of the theoretical result.