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.
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收藏
页数：16
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