A new criterion for global robust stability of interval neural networks with discrete time delays

Chuandong Li, Jinyu Chen and Tingwen Huang

Chaos, Solitons & Fractals, 2007, vol. 31, issue 3, 561-570

Abstract: This paper further studies global robust stability of a class of interval neural networks with discrete time delays. By introducing an equivalent transformation of interval matrices, a new criterion on global robust stability is established. In comparison with the results reported in the literature, the proposed approach leads to results with less restrictive conditions. Numerical examples are also worked through to illustrate our results.

Date: 2007
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Citations: View citations in EconPapers (7)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:31:y:2007:i:3:p:561-570

DOI: 10.1016/j.chaos.2005.10.031

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