Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4640827 | Journal of Computational and Applied Mathematics | 2009 | 13 Pages |
Abstract
In this paper, by means of constructing the extended impulsive delayed Halanay inequality and by Lyapunov functional methods, we analyze the global exponential stability and global attractivity of impulsive Hopfield neural networks with time delays. Some new sufficient conditions ensuring exponential stability of the unique equilibrium point of impulsive Hopfield neural networks with time delays are obtained. Those conditions are more feasible than that given in the earlier references to some extent. Some numerical examples are also discussed in this work to illustrate the advantage of the results we obtained.
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Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Xilin Fu, Xiaodi Li,