Stability Analysis of Boolean Networks: Exploring the Influence of Multi-bit Function Perturbations

Aixin Liu, Lin Wang, Guanrong Chen, Xinping Guan

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

Abstract

This study investigates the impact of multi-bit function perturbations (MFPs) on the steady-state distribution of Boolean networks (BNs), with a focus on robust stability. First, the algebraic formulation of BNs under MFPs is introduced. Then, a novel stability criterion is proposed, demonstrating that monotonically decreasing perturbations can effectively ensure the stability of BNs against MFPs. A significant advantage of this approach is that it enables robust stability assessment without remodeling the perturbed BNs. Applying this methodology to a simplified Boolean model of the lactose operon in Escherichia coli reveals that MFPs can serve as strategic tools to promote stability within BNs, rather than being merely disruptive. © 2024 IEEE.
Original languageEnglish
Title of host publication2024 IEEE 63rd Conference on Decision and Control (CDC)
PublisherIEEE
Pages2946-2951
ISBN (Electronic)9798350316339, 979-8-3503-1632-2
ISBN (Print)979-8-3503-1634-6
DOIs
Publication statusPublished - Dec 2024
Event63rd IEEE Conference on Decision and Control (CDC 2024) - Allianz MiCo, Milan Convention Centre, Milan, Italy
Duration: 16 Dec 202419 Dec 2024

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference63rd IEEE Conference on Decision and Control (CDC 2024)
Country/TerritoryItaly
CityMilan
Period16/12/2419/12/24

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