Finite-time anti-synchronization of time-varying delayed neural networks via feedback control with intermittent adjustment

被引：10

作者：

Sui, Xin ^{[1
]}

Yang, Yongqing ^{[2
]}

Wang, Fei ^{[1
]}

Zhang, Lingzhong ^{[1
]}

机构：

[1] Jiangnan Univ, Key Lab Adv Proc Control Light Ind, Minist Educ, Wuxi 214122, Peoples R China

[2] Jiangnan Univ, Sch Sci, Wuxi Engn Res Ctr Biocomp, Wuxi 214122, Peoples R China

来源：

ADVANCES IN DIFFERENCE EQUATIONS | 2017年

关键词：

finite-time anti-synchronization; intermittent adjustment feedback control; Lyapunov functional; COMPLEX DYNAMICAL NETWORKS; SENSOR NETWORKS; STABILITY; SYSTEMS;

D O I：

10.1186/s13662-017-1264-5

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

This paper investigates the finite-time anti-synchronization of time-varying delayed neural networks. A simple intermittent adjustment feedback controller is designed to ensure the drive-response systems realize anti-synchronization in a finite time. By employing some differential inequalities and finite-time stability theory, some novel and effective finite-time anti-synchronization criteria are derived based on the Lyapunov functional method. This paper extends some traditional anti-synchronization criteria by using intermittent adjustment feedback control. Finally, two numerical examples are given to show the effectiveness of the proposed method.

引用

页数：16

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