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Output Robustness of Probabilistic Boolean Control Networks With Respect to One-Bit Perturbation

机译:概率布尔控制网络关于单次扰动的输出鲁棒性

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摘要

Robustness is an important property for the analysis of network systems. In this article, we investigate the ability of probabilistic Boolean control networks (PBCNs) to keep output tracking to a constant reference signal under one-bit perturbation, and it is briefly termed as output robustness thereafter. Considering the output robustness of PBCNs, the traditional approaches in the preceding literature are disabled. To this end, we use the strongly connected components to characterize the invariant subset. The salient advantage of this approach is that the obtained invariant subset is equipped with a minute structure. Then, a component digraph is constructed. Based on it, two necessary and sufficient criteria are, respectively, derived for finite-time and asymptotic output tracking of PBCNs. Moreover, one-bit perturbation is classified into three categories with respect to different influence on the output tracking. Finally, a biological example demonstrates the availability of our theoretical results.
机译:鲁棒性是网络系统分析的重要属性。在本文中,我们调查了概率布尔控制网络(PBCNS)将输出跟踪输出跟踪到一位扰动下的恒定参考信号的能力,并且随后将其短暂被称为输出鲁棒性。考虑到PBCN的输出稳健性,禁用了前一篇文献中的传统方法。为此,我们使用强连接的组件来表征不变子集。这种方法的突出优点是所获得的不变子集配备有微小的结构。然后,构造成分数字。基于IT,分别是用于PBCNS的有限时间和渐近输出跟踪的两个必要和充足的标准。此外,一点扰动被分为三类,相对于对输出跟踪的不同影响。最后,生物学实例证明了我们理论结果的可用性。

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