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• W2051270813 abstract "In this paper, we investigate exponential stability for stochastic BAM networks with mixed delays. The mixed delays include discrete and distributed time-delays. The purpose of this paper is to establish some criteria to ensure the delayed stochastic BAM neural networks are exponential stable in the mean square. A sufficient condition is established by consructing suitable Lyapunov functionals. The condition is expressed in terms of the feasibility to a couple LMIs. Therefore, the exponential stability of the stochastic BAM networks with discrete and distributed delays can be easily checked by using the numerically efficient Matlab LMI toobox. A simple example is given to demonstrate the usefulness of the derived LMI-based stability conditions." @default.
• W2051270813 created "2016-06-24" @default.
• W2051270813 creator A5017808266 @default.
• W2051270813 creator A5023725857 @default.
• W2051270813 date "2012-02-01" @default.
• W2051270813 modified "2023-09-26" @default.
• W2051270813 title "Exponential stability for stochastic BAM networks with discrete and distributed delays" @default.
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• W2051270813 doi "https://doi.org/10.1016/j.amc.2011.11.035" @default.
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