Global stability analysis of interval neural networks with discrete and distributed delays of neutral type
This paper is concerned with the problem of the global asymptotic stability of a class of interval neural networks with discrete and distributed delays of neutral type. Based on the Lyapunov stability theory, a novel robust delay-dependent criterion is derived in terms of linear matrix inequality (LMI). Finallly, an example illustrates the validity of the proposed method. (C) 2008 Elsevier Ltd. All rights reserved.
interval neural networks distributed delays global asymptotic stability linear matrix inequality (lmi)