Global Exponential Stability of Delay Neural Networks with Impulsive Perturbations

This paper considers the global exponential stability of delay neural networks with impulsive perturbations. By establishing a new impulsive delay inequality which is different from the earlier publication, we obtain some new sufficient conditions ensuring exponential stability of the equilibrium point for such neural networks. The neural networks model considered include the impulsive delay Hopfield neural networks, the impulsive bidirectional associative memory networks and so on. Those conditions ensuring that global exponential stability are simpler and less restrictive versions of some recent results. At last, two numerical examples are given to illustrate the advantages of the results we obtained. AMS Subject Classifications: 92B20, 34A37.