Aperiodically intermittent strategy for finite-time synchronization of delayed neural networks

In this paper, the problem of the finite-time synchronization (FTS) is studied for a class of delay neural networks (DNNs) via aperiodically intermittent control. Based on the finite-time stability theory, several new conditions ensuring FTS of two DNNs are derived by establishing a very useful differential inequality and constructing a new Lyapunov function. In addition, the proposed results here are easy to verify and they also extend the previous publications. And, the upper bounds of the settling time for synchronization are estimated. Finally, numerical simulations show the effectiveness of the derived results and the developed method.