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Based on the Lyapunov-Razumikhin technique as well as linear matrix inequality analysis, two new sufficient conditions are presented for the global asymptotic stability of neural networks with variable delays. The results given here are less conservative than those provided in the earlier references.
The global asymptotic stability of Hopfield neural networks with transmission delays is considered in this Letter. We present a new sufficient condition for the asymptotic stability. This condition is dependent on the size of delays. The result is less conservative than those established in the earlier references. A numerical example is given to illustrate the applicability of this condition.
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