Robust minimal strong reconstructibility problem of Boolean control networks

被引:7
|
作者
Li, Xi [1 ]
Liu, Yang [1 ,2 ]
Lou, Jungang [3 ]
Lu, Jianquan [4 ]
机构
[1] Zhejiang Normal Univ, Sch Math Sci, Jinhua 321004, Peoples R China
[2] Zhejiang Normal Univ, Key Lab Intelligent Educ Technol & Applicat Zhejia, Jinhua 321004, Peoples R China
[3] Huzhou Univ, Sch Informat Engn, Huzhou 313000, Peoples R China
[4] Southeast Univ, Sch Math, Nanjing 210096, Peoples R China
基金
中国国家自然科学基金;
关键词
Boolean control networks (BCN); Graph theory; Robust minimal strong reconstructibility; (RMSR); Function perturbation; OBSERVABILITY;
D O I
10.1016/j.amc.2023.128209
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
In this paper, the problem of robust minimal strong reconstructibility (RMSR) of Boolean control networks (BCNs) with multi-bit perturbations is studied by using graph theory. The problem takes the premise that BCNs are strongly reconstructible before function perturba-tion. We analyze the effect of the multi-bit perturbation on the strong reconstructibility of BCNs and present two valid criteria for the robust strong reconstructibility of BCNs. Then, to avoid the effect of function perturbation on the strong reconstructibility of BCNs, the problem of adding a minimal sensor set is considered, thereby making the BCNs robust minimal strong reconstructible after function perturbation. Finally, the results are applied to a biological example.& COPY; 2023 Elsevier Inc. All rights reserved.
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页数:9
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