Article ID Journal Published Year Pages File Type
843539 Nonlinear Analysis: Theory, Methods & Applications 2008 10 Pages PDF
Abstract

In this paper, we study the problem of global exponential stability for cellular neural networks (CNN) with time-varying delays and fixed moments of impulsive effect. We establish several stability criteria by employing Lyapunov functions and the Razumikhin technique.

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Physical Sciences and Engineering Engineering Engineering (General)
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Global exponential stability for impulsive cellular neural networks with time-varying delays
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