Mean square exponential stability in high-order stochastic impulsive BAM neural networks with time-varying delays

Authors:
Haibo Gu
Affiliations:
College of Mathematics Sciences, Xinjiang Normal University, Urumqi 830054, China
Venue:
Neurocomputing
Year:
2011

Citing 13
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Abstract

In this paper, a class of stochastic impulsive high-order BAM neural networks with time-varying delays is considered. By using Lyapunov functional method, LMI method and mathematics induction, some sufficient conditions are derived for the globally exponential stability of the equilibrium point of the neural networks in mean square. It is believed that these results are significant and useful for the design and applications of impulsive stochastic high-order BAM neural networks.