Stabilization of T-S fuzzy asynchronous Boolean control networks with time delay under noise

This paper mainly investigates the stabilization problem of Takagi-Sugeno (T-S) fuzzy asynchronous Boolean control networks (ABCNs) under aperiodic sample-data state-feedback control. First, the system has been converted into a discrete time-delay system by using the theory of the semi-tensor product for matrices. After that, algebraic forms of the augmented ABCNs are obtained. Second, the stabilization of T-S fuzzy ABCNs with fixed time delay is researched. Based on that, noise is further considered in the time delay of ABCNs and the fixed time delay is altered to the unfixed case. Then, sufficient and necessary conditions for proposed stabilizations are derived by using different approaches. Ultimately, examples are provided to demonstrate the effectiveness and superiority of achieved results.

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Publication Details

Journal
Scientific Reports
Published
2025-04-29
DOI
https://doi.org/10.1038/s41598-025-00189-x
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Stabilization of T-S fuzzy asynchronous Boolean control networks with time delay under noise

Feifei Yang, Chuan Zhang, Hao Zhang, Yu-jie Sun et al.
Scientific Reports
Gene Regulatory Network Analysis
article

Stabilization of T-S fuzzy asynchronous Boolean control networks with time delay under noise

Feifei Yang, Chuan Zhang, Hao Zhang, Yu-jie Sun, Xianghui Su
article en

Abstract

This paper mainly investigates the stabilization problem of Takagi-Sugeno (T-S) fuzzy asynchronous Boolean control networks (ABCNs) under aperiodic sample-data state-feedback control. First, the system has been converted into a discrete time-delay system by using the theory of the semi-tensor product for matrices. After that, algebraic forms of the augmented ABCNs are obtained. Second, the stabilization of T-S fuzzy ABCNs with fixed time delay is researched. Based on that, noise is further considered in the time delay of ABCNs and the fixed time delay is altered to the unfixed case. Then, sufficient and necessary conditions for proposed stabilizations are derived by using different approaches. Ultimately, examples are provided to demonstrate the effectiveness and superiority of achieved results.

Scientific ReportsVol. 15(1)
Qufu Normal University (CN), Jinzhong University (CN), Taiyuan University of Science and Technology (CN)
National Natural Science Foundation of China, Natural Science Foundation of Shanxi Province, Natural Science Foundation of Shandong Province
Affordable and clean energy
Openalex Percentile: Top 92%
Gene Regulatory Network Analysis
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