Global asymptotic stability of neural networks with delay: Comparative evaluation of two criteria

Vimal Singh

Chaos, Solitons & Fractals, 2007, vol. 31, issue 5, 1187-1190

Abstract: In [IEEE Trans Circ Syst II 2005;52(4):181–4], a criterion for the global asymptotic stability of a class of delayed neural networks has been presented. The criterion is based on the factorization B=B1B2, where B denotes the delayed connection weight matrix. In the present paper, this criterion is compared with the criterion reported in [Phys Lett A 2003;311(6):504–11]. It turns out that, as far as the case of a nonsingular matrix B1 is concerned, these two criteria are one and the same.

Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:31:y:2007:i:5:p:1187-1190

DOI: 10.1016/j.chaos.2006.01.045

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