Mean Square Asymptotic Stability of Neutral Stochastic Neutral Networks with Multiple Time-Varying Delays

Xiang Dong Shi

doi:10.4028/www.scientific.net/AMR.684.579

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 684Mean Square Asymptotic Stability of Neutral...

Mean Square Asymptotic Stability of Neutral Stochastic Neutral Networks with Multiple Time-Varying Delays

Abstract:

The paper considers the problems of almost surely asymptotic stability for neutral stochastic neural networks with multiple time-varying delays. By applying Lyapunov functional method and differential inequality techniques, new sufficient conditions ensuring the existence and almost surely asymptotic stability of neutral stochastic neural networks with multiple time-varying delays are established. The results are shown to be generalizations of some previously published results and are less conservative than existing results.

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Periodical:

Advanced Materials Research (Volume 684)

Pages:

579-582

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.684.579

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Online since:

April 2013

Authors:

Xiang Dong Shi

Keywords:

Almost Surely Asymptotic Stability, Linear Matrix Inequality (LMI), Lyapunov Functional, Multiple Time-Varying Delays, Neutral Stochastic Neural Networks

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