Synchronization of periodically time‐varying Boolean networks under state‐flipping control

Abstract This paper investigates the synchronization of a drive‐response system formed by coupling two periodically time‐varying Boolean networks (PTVBNs) under state‐flipping control. Both synchronous and asynchronous update PTVBNs are taken into consideration. First, sufficient and necessary conditions for synchronization are proposed. Second, two algorithms are provided to find the flip sequence with minimum cardinality, enabling the response system to track the state trajectory of the drive system based on synchronous and asynchronous update schemes. However, the obtained flip sequence is only applicable to the given initial states. Therefore, another algorithm is presented to find the minimum flip set, which is suitable for all initial states. Finally, an example is given to illustrate the effectiveness of the obtained results.

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Publication Details

Journal
Asian Journal of Control
Published
2025-03-14
DOI
https://doi.org/10.1002/asjc.3628
Citations
2
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
1.61

Funders

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article

Synchronization of periodically time‐varying Boolean networks under state‐flipping control

Peilian Guo, Meiling Su, Ben Niu
2 citations
Asian Journal of Control
Gene Regulatory Network Analysis
1.61
article

Synchronization of periodically time‐varying Boolean networks under state‐flipping control

Peilian Guo, Meiling Su, Ben Niu
article en
2 citations

Abstract

Abstract This paper investigates the synchronization of a drive‐response system formed by coupling two periodically time‐varying Boolean networks (PTVBNs) under state‐flipping control. Both synchronous and asynchronous update PTVBNs are taken into consideration. First, sufficient and necessary conditions for synchronization are proposed. Second, two algorithms are provided to find the flip sequence with minimum cardinality, enabling the response system to track the state trajectory of the drive system based on synchronous and asynchronous update schemes. However, the obtained flip sequence is only applicable to the given initial states. Therefore, another algorithm is presented to find the minimum flip set, which is suitable for all initial states. Finally, an example is given to illustrate the effectiveness of the obtained results.

Asian Journal of ControlVol. 27(6)
Dalian University of Technology (CN), Shandong Normal University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 19%
Gene Regulatory Network Analysis
1.61
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