Global robust stability for delayed neural networks with polytopic type uncertainties

Yong He, Qing-Guo Wang and Wei-Xing Zheng

Chaos, Solitons & Fractals, 2005, vol. 26, issue 5, 1349-1354

Abstract: In this paper, global robust stability for delayed neural networks is studied. First the free-weighting matrices are employed to express the relationship between the terms in the system equation, and a stability condition for delayed neural networks is derived by using the S-procedure. Then this result is extended to establish a global robust stability criterion for delayed neural networks with polytopic type uncertainties. A numerical example given in [IEEE Trans Circuits Syst II 52 (2005) 33–36] for interval delayed neural networks is investigated. The effectiveness of the presented global robust stability criterion and its improvement over the existing results are demonstrated.

Date: 2005
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Citations: View citations in EconPapers (25)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:26:y:2005:i:5:p:1349-1354

DOI: 10.1016/j.chaos.2005.04.005

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