Stability of Stochastic Neural Networks with Discrete and Distributed Time-Varying Delays

doi:10.3969/j.issn.1007-2985.2012.04.008

journal6 ›› 2012, Vol. 33 ›› Issue (4): 37-40.DOI: 10.3969/j.issn.1007-2985.2012.04.008

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Stability of Stochastic Neural Networks with Discrete and Distributed Time-Varying Delays

(College of iInformation Engineering,Fuyang Teachers College,Fuyang 236041,China)

Online:2012-07-25 Published:2012-09-11

Abstract

Abstract: The global exponential stability of stochastic neural networks with discrete and distributed time-varying delays is investigated.According to the Lyapunov stability theory and LMIs approaches,delay-dependent criteria are derived to ensure the global robust exponential stability of the addressed system in the mean square for all admissible parameter uncertainties.A numerical example is given to illustrate the effectiveness of the results obtained.

Key words: neural network, discrete and distributed time-varying delays, exponential stability, LMIS

KANG Wei, LI Lin-Guo. Stability of Stochastic Neural Networks with Discrete and Distributed Time-Varying Delays[J]. journal6, 2012, 33(4): 37-40.

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Stability of Stochastic Neural Networks with Discrete and Distributed Time-Varying Delays

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