Exponential Stability for Stochastic Neural Networks with Time-Varying Delay and Leakage Delay

Ya Jun Li; Jing Zhao Li

doi:10.4028/www.scientific.net/AMM.742.399

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 742Exponential Stability for Stochastic Neural...

Exponential Stability for Stochastic Neural Networks with Time-Varying Delay and Leakage Delay

Abstract:

This paper investigates the exponential stability problem for a class of stochastic neural networks with leakage delay. By employing a suitable Lyapunov functional and stochastic stability theory technic, the sufficient conditions which make the stochastic neural networks system exponential mean square stable are proposed and proved. All results are expressed in terms of linear matrix inequalities (LMIs). Example and simulation are presented to show the effectiveness of the proposed method.

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Periodical:

Applied Mechanics and Materials (Volume 742)

Pages:

399-403

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.742.399

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Online since:

March 2015

Authors:

Ya Jun Li*, Jing Zhao Li

Keywords:

Exponential Stable, Leakage Delay, Linear Matrix Inequality (LMI), Neural Networks, Time-Varying Delay

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