间歇控制下时滞竞争神经网络指数同步探究

Exponential Synchronization of Competitive Neural Networks with Time Delay under Intermittent Control

本文主要讨论了间歇控制下时滞竞争神经网络的指数同步问题.利用微分不等式分析方法与Lyapunov函数法,给出了同时满足大时滞与小时滞竞争神经网络的全局指数同步的充分性条件,并建立了相应的判别准则.最后,设计了一个数值实验,通过仿真实例验证了所提出理论的正确性和有效性.

In this paper,the problem about the exponential synchronization of competitive neural networks with time delay under intermittent control is discussed.By using Lyapunov function method and differential inequality method,some sufficient conditions are given which are based on global exponential synchronization of competitive neural networks with large time delay and small time delay,and the corresponding criterion is established.Finally,a numerical example is shown to verify the correctness and validity of the theoretical result.