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The stability of cellular neural networks (CNNs) with time-varying delays and parametric uncertainties is investigated in the present paper. By introducing a new Lyapunov-Krasovskii functional in virtue of the linearization of the model under investigation and considering the additional useful terms when estimating the upper bound of the derivative of Lyapunov functional, new delay-dependent stability...
This article discusses the stability problem of coupled linear differential-difference equations with norm bounded uncertainty. Coupled differential-difference equations represent a very general class of time-delay systems, which include as special cases many time-delay systems of neutral type, systems with commensurate delays, and many singular time-delay systems. A new stability criterion in the...
In this paper, a new criterion is established for global robust asymptotic stability of a class of interval neural networks with multiple constant delays via the Lyapunov-Krasovskii stability theory and the linear matrix inequality (LMI) approach. A numerical example is also given to show the effectiveness of our results.
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