一类扰动脉冲时滞神经网络系统的指数反同步  

Exponential Anti-Synchronization of Neural Networks with Delays Under Perturbed Impulses

作　　者：陈润龙 关开中 CHEN Run-ong;GUAN Kai-zhong(School of Mathematics and Computational Science,Wuyi University,Jiangmen 529020,China)

机构地区：[1]五邑大学数学与计算科学学院,广东江门529020

出　　处：《五邑大学学报（自然科学版）》2023年第4期7-12,共6页Journal of Wuyi University(Natural Science Edition)

基　　金：广东省自然科学基金资助项目(2016A030313005)。

摘　　要：本文研究了一类带扰动脉冲的时滞神经网络系统指数反同步问题.利用Lyapunov泛函方法和分析技巧,建立了驱动-响应时滞神经网络系统全局指数反同步的充分条件,并利用数值仿真验证了所得结论的有效性.This paper investigated the problem of exponential anti-synchronization in a class of neural network systems with perturbed arterial impulse delays.Using Lyapunov functional method and analytical techniques,several sufficient conditions for global exponential anti-synchronization of drive-response neural network systems with delays were established,and the effectiveness of the obtained conclusions was verified through numerical simulation.

关 键 词：指数反同步 神经网络 脉冲扰动 时滞 LYAPUNOV泛函方法 

分 类 号：O175.1[理学—数学]