Synchronization of delayed neural networks via intermittent sampled-data control

The paper investigates the synchronization problem for time-delay neural networks via intermittent sampled-data control. To fully consider the characteristics of the controlled systems, a mixed two-side-looped functional is constructed, and two inequalities are proposed to estimate the norm of the system state. After then, the synchronization criterion and the controller condition are obtained. To illustrate the effectiveness of the presented results, a numerical example is given.