Abstract
AbstractThis paper is concerned with the global asymptotic stability of cellular neural network with time-varying discrete and distributed delays. A novel criterion for the stability using the Lyapunov stability theory and linear matrix inequality(LMI) framework is presented. The result is less conservative than those established in the earlier references.KeywordsGlobal asymptotic stabilityLyapunov methodLinear matrix inequalityCellular neural network
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