Exponential stability of impulsive stochastic genetic regulatory networks with time-varying delays and reaction-diffusion

Exponential stability of impulsive stochastic genetic regulatory networks with time-varying delays and reaction-diffusion
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具有时变延迟和反应扩散的脉冲随机遗传调控网络的指数稳定性

DOI:
10.1186/s13662-016-1033-x
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发表时间:
2016-11
影响因子:
4.1
通讯作者:
Ye Ming
Ye Ming
中科院分区:
数学3区
文献类型:
--
作者:
Cao Boqiang;Zhang Qimin;Ye Ming

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我们提出了由分数布朗运动 (fBm) 驱动的具有时变延迟和反应扩散的脉冲随机遗传调控网络 (GRN) 的均方指数稳定性分析。通过构造李亚普诺夫函数并使用线性矩阵不等式进行随机分析,我们得出了保证脉冲 GRN 随机模型在均方意义上的指数稳定性的充分条件。同时,对于具有恒定时滞和标准布朗运动的GRN也获得了相应的结果。举一个例子来说明我们的均方指数稳定性分析的结果。
We present a mean-square exponential stability analysis for impulsive stochastic genetic regulatory networks (GRNs) with time-varying delays and reaction-diffusion driven by fractional Brownian motion (fBm). By constructing a Lyapunov functional and using linear matrix inequality for stochastic analysis we derive sufficient conditions to guarantee the exponential stability of the stochastic model of impulsive GRNs in the mean-square sense. Meanwhile, the corresponding results are obtained for the GRNs with constant time delays and standard Brownian motion. An example is presented to illustrate our results of the mean-square exponential stability analysis.
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