Impulsive effects on the global exponential stability of neural network models with supremums

In this paper, we study the problem of impulsive effects on global exponential stability for a class of impulsive n-dimensional neural networks with unbounded delays and supremums. We establish stability criteria by employing the Lyapunov functions׳ method. Three illustrative examples are given to demonstrate the effectiveness of the obtained results. The technique can be extended to study other impulsive multidimensional delayed systems.