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• W1967562015 abstract "Gene regulation is an intrinsically noise process, which is subject to intracellular and extracellular noise perturbations and environment fluctuations, moreover time delays play an important role in dynamics of genetic networks owing to slow biochemical reactions of transcription, translation and translocation. Basing on the above analysis, this paper presents a stochastic nonlinear model for genetic regulatory networks with SUM regulatory functions, sufficient conditions of the stochastic asymptotic stability with disturbance attenuation are derived in terms of LMIs, which are easy to be verified via the LMI toolbox. To show the effectiveness of the obtained results. Illustrative examples are also given at last." @default.
• W1967562015 created "2016-06-24" @default.
• W1967562015 creator A5016034793 @default.
• W1967562015 date "2011-07-22" @default.
• W1967562015 modified "2023-09-24" @default.
• W1967562015 title "Asymptotic stability of stochastic genetic networks with disturbance attenuation" @default.
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