Global robust stability of delayed neural networks: Estimating upper limit of norm of delayed connection weight matrix

Vimal Singh

Chaos, Solitons & Fractals, 2007, vol. 32, issue 1, 259-263

Abstract: The question of estimating the upper limit of ∥B∥2, which is a key step in some recently reported global robust stability criteria for delayed neural networks, is revisited (B denotes the delayed connection weight matrix). Recently, Cao, Huang, and Qu have given an estimate of the upper limit of ∥B∥2. In the present paper, an alternative estimate of the upper limit of ∥B∥2 is highlighted. It is shown that the alternative estimate may yield some new global robust stability results.

Date: 2007
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:32:y:2007:i:1:p:259-263

DOI: 10.1016/j.chaos.2005.10.104

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