A matrix approach to the analysis and computation of robust cycles for Boolean control networks with disturbances

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Lei Deng, Shihua Fu, Xinling Li, Jianjun Wang
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引用次数: 0

Abstract

This paper studies several types of robust control cycles (RCCs) for the Boolean control networks (BCNs) affected by disturbances using semi-tensor product of matrices, and provides their computing methods. First, the cycles of a BCN are classified as strong RCCs and weak RCCs according to their ability to resist disturbances. Secondly, the properties of the states on a cycle for the BCNs are revealed, based on which all the RCCs whose weak connecting degree is not more than one with certain length are obtained. Moreover, the controls to ensure that the state trajectories form RCCs are designed. Finally, some examples are given to demonstrate the effectiveness of the obtained theoretical results, as well as to show the applications of these results.

Abstract Image

分析和计算有扰动的布尔控制网络鲁棒循环的矩阵方法
本文利用矩阵的半张量乘法研究了布尔控制网络(BCN)受干扰影响的几种鲁棒控制循环(RCC),并提供了其计算方法。首先,根据布尔控制网络的抗干扰能力,将其循环分为强鲁棒控制循环和弱鲁棒控制循环。其次,揭示了 BCN 循环上状态的特性,并在此基础上得到了所有弱连接度不大于 1 且具有一定长度的 RCC。此外,还设计了确保状态轨迹形成 RCC 的控制方法。最后,举例说明了所获理论结果的有效性,并展示了这些结果的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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