Asymptotic Synchronization Analysis in Drive-Response Markovian Jump Boolean Networks
This paper explores the asymptotic synchronization of drive-response Markovian jump Boolean networks (MJBNs) using an algebraic state space representation. For two switching signals, an augmented variable is introduced, recasting the synchronization problem into an asymptotic set stability challenge. Initially, a criterion is developed to identify all nonnegative solutions of a related equation via stochastic processes. Then, an alternative criterion based on invariant subsets and the largest singular value is proposed, where the equivalence of the proposed two criteria is demonstrated. Contrasting with deterministic BNs, where synchronization methods depend on finite power of state transition matrices, the criteria for MJBNs involve a more intricate approach. Numerical examples are included to validate the effectiveness of the proposed theoretical concepts.
Authors
- Yong Wang (ORCID: https://orcid.org/0000-0002-6773-6544)
- Jie Zhong (ORCID: https://orcid.org/0000-0002-7196-5753)
- Chi Huang (ORCID: https://orcid.org/0000-0001-8927-4072)
- Yaqi Wang (ORCID: https://orcid.org/0000-0002-5495-0314)
- Qinyao Pan (ORCID: https://orcid.org/0000-0002-5093-0244)
- Ning Li (ORCID: https://orcid.org/0000-0002-3549-8318)
Institutions
- Zhejiang Normal University (CN)
- Qufu Normal University (CN)
- Southwestern University of Finance and Economics (CN)
- Henan University of Economic and Law (CN)
Publication Details
- Journal
- IEEE Transactions on Computational Biology and Bioinformatics
- Published
- 2025-03-06
- DOI
- https://doi.org/10.1109/tcbbio.2025.3548559
- Citations
- 2
- Primary Topic
- Gene Regulatory Network Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.61
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Shandong Province
- Science and Technology Innovation Talents in Universities of Henan Province