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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 457-458On Robust Stability for Stochastic Neural Networks...

On Robust Stability for Stochastic Neural Networks of Neutral-Type with Uncertainties and Time-Varying Delays

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Abstract:

This paper is concerned with the robust stability analysis problem for stochastic neural networks of neutral-type with uncertainties and time-varying delays. Novel stability criteria are proposed in terms of linear matrix inequality (LMI) by defining a Lyapunov-Krasovskii functional and using the stochastic analysis technique. Two examples are given to show the effectiveness of the obtained conditions.

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Advanced Materials and Engineering Materials

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Periodical:

Advanced Materials Research (Volumes 457-458)

Pages:

716-722

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.457-458.716

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Online since:

January 2012

Authors:

Guo Quan Liu, Simon X. Yang

Keywords:

Lyapunov-Krasovskii Functional, Neutral-Type, Robust Stability, Stochastic Neural Networks, Time-Varying Delay

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© 2012 Trans Tech Publications Ltd. All Rights Reserved

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