Stabilization of sampled-data generalized asynchronous Boolean control networks under noise interference

Feifei Yang, Shihua Fu, Jie Zhong, Xianghui Su and Hao Zhang

Applied Mathematics and Computation, 2025, vol. 507, issue C

Abstract: This study investigates the stabilization of generalized asynchronous Boolean control networks under noise interference. Firstly, it involves generalized asynchronous Boolean control networks unaffected by noise interference and extends the stabilization theorem of ordinary Boolean networks to them. Secondly, a theorem is provided to determine the stabilization of networks with noise interference. However, the computational complexity increases significantly if this theorem is applied to large-scale networks. Therefore, a dimensionality reduction method is proposed to address the drawbacks of large-scale networks. Similarly, a theorem for determining the stabilization of large-scale networks has also been provided.

Keywords: Generalized asynchronous Boolean control networks; Stabilization; Large-scale networks; Noise interference (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:apmaco:v:507:y:2025:i:c:s0096300325002875

DOI: 10.1016/j.amc.2025.129561

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