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Improved approaches to stability criteria for neural networks with time-varying delays. (English) Zbl 1287.93073
Summary: In this paper, the problem of stability analysis for neural networks with time-varying delays is considered. By the use of a newly augmented Lyapunov functional and some novel techniques, sufficient conditions to guarantee the asymptotic stability of the concerned networks are established in terms of linear matrix inequalities (LMIs). Three numerical examples are given to show the improved stability region of the proposed works.

##### MSC:
 93D20 Asymptotic stability in control theory 92B20 Neural networks for/in biological studies, artificial life and related topics
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##### References:
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