Finite-time anti-synchronization of time-varying delayed neural networks via feedback control with intermittent adjustment
Xin Sui, Yongqing Yang, Fei Wang, Lingzhong Zhang · Advances in Difference Equations · 2017
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.