Global -Stability Analysis for Impulsive Stochastic Neural Networks with Unbounded Mixed Delays

Lizi Yin and Xinchun Wang

Abstract and Applied Analysis, 2013, vol. 2013, 1-12

Abstract:

We investigate the global -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.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlaaa:746241

DOI: 10.1155/2013/746241

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