Abstract
This article is devoted to the robust stability analysis of large-scale systems involving both discrete and distributed delays. Here, the robustness property is relative to uncertainties on the time-delay function as well as on model parameters. Differential inequalities and comparison principle lead to consider a simpler system, which stability implies the stability of original one. An application to Hopfield's neural networks illustrates the work.
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