Asymptotic Stability of Stochastic Genetic Networks with Disturbance Attenuation
Gene regulation is an intrinsically noise process,which is subject to intracellular and extracellular noise perturbations and environment.uctuations,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,suf.cient conditions of the stochastic asymptotic stability with disturbance attenuation are derived in terms of LMIs,which are easy to be veri.ed via the LMI toolbox. To show the effectiveness of the obtained results. Illustrative examples are also given at last.
LI Hongjie
College of Mathematics and Information and Engineering,Jiaxing University,Zhejiang,314001,P.R.China
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-6
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）