基因调控网络的延迟无关稳定性。

IEEE transactions on neural networks Pub Date : 2011-11-01 Epub Date: 2011-09-06 DOI:10.1109/TNN.2011.2165556
Fang-Xiang Wu
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引用次数: 51

摘要

遗传调控网络可以用非线性时滞微分方程来描述。在本文中,我们研究了遗传调控网络的局部和全局延迟无关稳定性,并考虑了信使核糖核酸选择性剪接。基于非负矩阵理论,首先给出了具有多时滞的遗传调控网络局部时滞无关稳定性的充分必要条件。与之前的结果相比,这些条件很容易验证。然后给出了遗传调控网络全局时滞无关稳定性的充分条件。与以往的结果相比,该充分条件具有较小的保守性。为了说明本文提出的定理,我们分析了两种基因调控网络的延迟无关稳定性:一种是由三个基因和三个蛋白质组成的现实生活中的抑制网络,另一种是由五个基因和七个蛋白质组成的合成基因调控网络。仿真结果表明,本文提出的定理可以有效地确定遗传调控网络的延迟无关稳定性。
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Delay-independent stability of genetic regulatory networks.

Genetic regulatory networks can be described by nonlinear differential equations with time delays. In this paper, we study both locally and globally delay-independent stability of genetic regulatory networks, taking messenger ribonucleic acid alternative splicing into consideration. Based on nonnegative matrix theory, we first develop necessary and sufficient conditions for locally delay-independent stability of genetic regulatory networks with multiple time delays. Compared to the previous results, these conditions are easy to verify. Then we develop sufficient conditions for global delay-independent stability for genetic regulatory networks. Compared to the previous results, this sufficient condition is less conservative. To illustrate theorems developed in this paper, we analyze delay-independent stability of two genetic regulatory networks: a real-life repressilatory network with three genes and three proteins, and a synthetic gene regulatory network with five genes and seven proteins. The simulation results show that the theorems developed in this paper can effectively determine the delay-independent stability of genetic regulatory networks.

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来源期刊
IEEE transactions on neural networks
IEEE transactions on neural networks 工程技术-工程:电子与电气
自引率
0.00%
发文量
2
审稿时长
8.7 months
期刊最新文献
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