Mean square exponential stability of uncertain stochastic delayed neural networks

Wu-Hua Chen; Xiaomei Lu

doi:10.1016/j.physleta.2007.09.009

Mean square exponential stability of uncertain stochastic delayed neural networks

Wu-Hua Chen
, Xiaomei Lu

Research output: Contribution to journal › Article › peer-review

147 Citations (Scopus)

Abstract

This Letter concerns with the mean square exponential stability of uncertain stochastic delayed neural networks. By applying Lyapunov functional method, new delay-dependent/independent mean square exponential stability criteria are derived in terms of linear matrix inequalities. Two examples are presented which show our result are less conservative than the existing stability criteria.

Original language	English
Pages (from-to)	1061-1069
Number of pages	9
Journal	Physics Letters. Section A: General , Atomic and Solid State Physics
Volume	372
Issue number	7
DOIs	https://doi.org/10.1016/j.physleta.2007.09.009
Publication status	Published - 2008

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title = "Mean square exponential stability of uncertain stochastic delayed neural networks",

abstract = "This Letter concerns with the mean square exponential stability of uncertain stochastic delayed neural networks. By applying Lyapunov functional method, new delay-dependent/independent mean square exponential stability criteria are derived in terms of linear matrix inequalities. Two examples are presented which show our result are less conservative than the existing stability criteria.",

author = "Wu-Hua Chen and Xiaomei Lu",

year = "2008",

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AU - Lu, Xiaomei

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N2 - This Letter concerns with the mean square exponential stability of uncertain stochastic delayed neural networks. By applying Lyapunov functional method, new delay-dependent/independent mean square exponential stability criteria are derived in terms of linear matrix inequalities. Two examples are presented which show our result are less conservative than the existing stability criteria.

AB - This Letter concerns with the mean square exponential stability of uncertain stochastic delayed neural networks. By applying Lyapunov functional method, new delay-dependent/independent mean square exponential stability criteria are derived in terms of linear matrix inequalities. Two examples are presented which show our result are less conservative than the existing stability criteria.

UR - http://handle.uws.edu.au:8081/1959.7/536359

U2 - 10.1016/j.physleta.2007.09.009

DO - 10.1016/j.physleta.2007.09.009

M3 - Article

SN - 0375-9601

VL - 372

SP - 1061

EP - 1069

JO - Physics Letters. Section A: General , Atomic and Solid State Physics

JF - Physics Letters. Section A: General , Atomic and Solid State Physics

IS - 7

ER -

Mean square exponential stability of uncertain stochastic delayed neural networks

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