Article ID Journal Published Year Pages File Type
9877761 Physica D: Nonlinear Phenomena 2005 17 Pages PDF
Abstract
In this paper, some criteria are derived for global asymptotic stability of a class of neural networks with multiple constant or time-varying delays. Based on the Lyapunov-Krasovskii stability theory for functional differential equations and the linear matrix inequality (LMI) approach, some delay-independent criteria for neural networks with multiple constant delays and delay-dependent criteria for neural networks with multiple time-varying delays are provided to guarantee global asymptotic stability of these networks. The main results are generalizations of some recent results reported in the literature.
Related Topics
Physical Sciences and Engineering Mathematics Applied Mathematics
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