New asymptotic stability criteria for neural networks with time-varying delays

Junkang Tian and Dongsheng Xu

Chaos, Solitons & Fractals, 2009, vol. 41, issue 4, 1916-1922

Abstract: The problem of delay-dependent asymptotic stability criteria for neural networks (NNs) with time-varying delays is investigated. An improved linear matrix inequality-based delay-dependent stability test is introduced to ensure a large upper bound for time-delay. A new class of Lyapunov functional is constructed to derive some novel delay-dependent stability criteria. Finally, a numerical example is given to demonstrate the effectiveness of the proposed method.

Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:41:y:2009:i:4:p:1916-1922

DOI: 10.1016/j.chaos.2008.07.045

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