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Simplified exponential stability analysis for recurrent neural networks with discrete and distributed time-varying delays. (English) Zbl 1168.34049

A class of recurrent neural networks with discrete and distributed time-varying delays is studied. Exponential stability for such networks is proved by means of Lyapunov-Krasovskii functionals and linear matrix inequality approach. Some examples are given for illustration of the obtained theoretical results.

MSC:

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