Delayed State-Flipped Control for Stabilization of Boolean Networks with Time Delays

This paper addresses the stabilization problem in Boolean networks with time delays (TBNs) under state-flipped control. First, the algebraic form of TBNs under state-flipped control is derived utilizing the semi-tensor product (STP) of matrices. Based on their periodic properties, the TBNs are then partitioned into subsystems. Subsequently, leveraging these developments, the equivalence between the stabilization of the original TBNs and that of the derived subsystems under state-flipped control is established. Furthermore, an equivalent stabilization criterion for the TBNs under state-flipped control is provided. An algorithm is also presented for constructing a flipped-set sequence to achieve stabilization. Finally, illustrative examples are provided to demonstrate the effectiveness of the theoretical results.

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Publication Details

Journal
Mathematics
Published
2025-08-18
DOI
https://doi.org/10.3390/math13162653
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Delayed State-Flipped Control for Stabilization of Boolean Networks with Time Delays

Guodong Zhao, Haitao Li, Ranran Song
Mathematics
Gene Regulatory Network Analysis
article

Delayed State-Flipped Control for Stabilization of Boolean Networks with Time Delays

Guodong Zhao, Haitao Li, Ranran Song
article en

Abstract

This paper addresses the stabilization problem in Boolean networks with time delays (TBNs) under state-flipped control. First, the algebraic form of TBNs under state-flipped control is derived utilizing the semi-tensor product (STP) of matrices. Based on their periodic properties, the TBNs are then partitioned into subsystems. Subsequently, leveraging these developments, the equivalence between the stabilization of the original TBNs and that of the derived subsystems under state-flipped control is established. Furthermore, an equivalent stabilization criterion for the TBNs under state-flipped control is provided. An algorithm is also presented for constructing a flipped-set sequence to achieve stabilization. Finally, illustrative examples are provided to demonstrate the effectiveness of the theoretical results.

MathematicsVol. 13(16)
Shandong Normal University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Openalex Percentile: Top 81%
Gene Regulatory Network Analysis
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