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

Advances in Difference Equations

Lingzhong Zhang¹  Fei Wang¹  Xin Sui¹  Yongqing Yang² 

[1] Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi, China;School of Science, Wuxi Engineering Research Center for Biocomputing, Jiangnan University, Wuxi, China

关键词: finite-time anti-synchronization;    intermittent adjustment feedback control;    Lyapunov functional;   

DOI  :  10.1186/s13662-017-1264-5

学科分类：数学（综合）

来源: SpringerOpen

【 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.

【 授权许可】

CC BY