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Global robust stability of interval neural networks with multiple time-varying delays. (English) Zbl 1119.34054

Interval neural networks with multiple time-varying delays are studied. Global robust stability of such networks is proved by means of Lyapunov-Razumikhin technique and matrix inequality analysis. New sufficient conditions for the existence and uniqueness of an equilibrium point are provided by the authors. One example is given as well.

MSC:

34K20 Stability theory of functional-differential equations
92B20 Neural networks for/in biological studies, artificial life and related topics
93D09 Robust stability
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References:

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