Global Exponential Stability of Delay Neural Networks with Impulsive Perturbations
Xiaodi Li · 2010
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 con-ditions ensuring exponential stability of the equilibrium point for such neural net-works. The neural networks model considered include the impulsive delay Hop-field 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.