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2013 Global μ-Stability Analysis for Impulsive Stochastic Neural Networks with Unbounded Mixed Delays
Lizi Yin, Xinchun Wang
Abstr. Appl. Anal. 2013(SI36): 1-12 (2013). DOI: 10.1155/2013/746241

Abstract

We investigate the global μ-stability in the mean square of impulsive stochastic neural networks with unbounded time-varying delays and continuous distributed delays. By choosing an appropriate Lyapunov-Krasovskii functional, a novel robust stability condition, in the form of linear matrix inequalities, is derived. These sufficient conditions can be tested by MATLAB LMI software packages. The results extend and improve the earlier publication. Two numerical examples are provided to illustrate the effectiveness of the obtained theoretical results.

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Lizi Yin. Xinchun Wang. "Global μ-Stability Analysis for Impulsive Stochastic Neural Networks with Unbounded Mixed Delays." Abstr. Appl. Anal. 2013 (SI36) 1 - 12, 2013. https://doi.org/10.1155/2013/746241

Information

Published: 2013
First available in Project Euclid: 26 February 2014

zbMATH: 1271.93170
MathSciNet: MR3039141
Digital Object Identifier: 10.1155/2013/746241

Rights: Copyright © 2013 Hindawi

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Vol.2013 • No. SI36 • 2013
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