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An analysis on the global asymptotic stability for neural networks with variable delays. (English) Zbl 1134.34330
Summary: 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.

MSC:
34K20 Stability theory of functional-differential equations
93D20 Asymptotic stability in control theory
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