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 language | English |
|---|---|
| Title of host publication | 2024 IEEE 63rd Conference on Decision and Control (CDC) |
| Publisher | IEEE |
| Pages | 2946-2951 |
| ISBN (Electronic) | 9798350316339, 979-8-3503-1632-2 |
| ISBN (Print) | 979-8-3503-1634-6 |
| DOIs | |
| Publication status | Published - Dec 2024 |
| Event | 63rd IEEE Conference on Decision and Control (CDC 2024) - Allianz MiCo, Milan Convention Centre, Milan, Italy Duration: 16 Dec 2024 → 19 Dec 2024 https://cdc2024.ieeecss.org/ https://ieeexplore.ieee.org/xpl/conhome/10885784/proceeding |
Publication series
| Name | Proceedings of the IEEE Conference on Decision and Control |
|---|---|
| ISSN (Print) | 0743-1546 |
| ISSN (Electronic) | 2576-2370 |
Conference
| Conference | 63rd IEEE Conference on Decision and Control (CDC 2024) |
|---|---|
| Abbreviated title | CDC24 |
| Place | Italy |
| City | Milan |
| Period | 16/12/24 → 19/12/24 |
| Internet address |
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