Article ID Journal Published Year Pages File Type
1713894 Nonlinear Analysis: Hybrid Systems 2008 7 Pages PDF
Abstract

In this paper, we consider a class of hybrid Stochastic recurrent neural networks with time-varying delays. By using Razumikhin-type theorem, we not only obtain–almost surely–the exponential stability but also estimate the exponentially convergent rate.

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Physical Sciences and Engineering Engineering Control and Systems Engineering
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Exponential stability of hybrid stochastic recurrent neural networks with time-varying delays
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