Set Restabilization of Perturbed Boolean Control Networks

This paper develops a parameter tuning method for solving the set restabilization problem of perturbed Boolean control networks (BCNs). First, the absorbable attractor, which we previously proposed, is recalled. Based on the relationship between attractors, a necessary and sufficient restabilizability criterion is derived. This criterion is used to check whether a perturbed BCN can be stabilized to the original target set by modifying the least number of parameters to the old controller. Furthermore, a constructive method for fine-tuning the old controller is provided if the criterion condition derived above is satisfied. Compared with the existing relevant results, ours have clear advantages, since they can address the set restabilization problem of BCNs subject to multi-column function perturbations, which has not been solved yet. Finally, two examples are employed to show the effectiveness and advantages of our results.

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Publication Details

Journal
Electronics
Published
2024-09-12
DOI
https://doi.org/10.3390/electronics13183624
Citations
1
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
0.23

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article

Set Restabilization of Perturbed Boolean Control Networks

Hui Tian, Yanfang Hou
1 citations
Electronics
Gene Regulatory Network Analysis
0.23
article

Set Restabilization of Perturbed Boolean Control Networks

Hui Tian, Yanfang Hou
article en
1 citations

Abstract

This paper develops a parameter tuning method for solving the set restabilization problem of perturbed Boolean control networks (BCNs). First, the absorbable attractor, which we previously proposed, is recalled. Based on the relationship between attractors, a necessary and sufficient restabilizability criterion is derived. This criterion is used to check whether a perturbed BCN can be stabilized to the original target set by modifying the least number of parameters to the old controller. Furthermore, a constructive method for fine-tuning the old controller is provided if the criterion condition derived above is satisfied. Compared with the existing relevant results, ours have clear advantages, since they can address the set restabilization problem of BCNs subject to multi-column function perturbations, which has not been solved yet. Finally, two examples are employed to show the effectiveness and advantages of our results.

ElectronicsVol. 13(18)
Chongqing University of Posts and Telecommunications (CN), Chongqing University of Technology (CN)
National Key Research and Development Program of China
Openalex Percentile: Top 43%
Gene Regulatory Network Analysis
0.23
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Set Restabilization of Perturbed Boolean Control Networks — Hui Tian, Yanfang Hou · Electronics (2024) | TGRS Research Map | TGRS