Full Text:   <2010>

Summary:  <1695>

CLC number: TP13

On-line Access: 2024-08-27

Received: 2023-10-17

Revision Accepted: 2024-05-08

Crosschecked: 2019-12-11

Cited: 0

Clicked: 6432

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Nan Jiang

https://orcid.org/0000-0002-3445-6386

Chi Huang

https://orcid.org/0000-0001-8927-4072

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Article info.
Open peer comments

Frontiers of Information Technology & Electronic Engineering  2020 Vol.21 No.2 P.268-280

http://doi.org/10.1631/FITEE.1900447


Bisimulation-based stabilization of probabilistic Boolean control networks with state feedback control


Author(s):  Nan Jiang, Chi Huang, Yao Chen, J�rgen Kurths

Affiliation(s):  School of Economic Information Engineering, Southwestern University of Finance and Economics, Chengdu 611130, China; more

Corresponding email(s):   jangnan.chloe.1023@gmail.com, huangchi@swufe.edu.cn, chenyao@swufe.edu.cn, Juergen.Kurths@pik-potsdam.de

Key Words:  Probabilistic Boolean control network, Bisimulation, Stabilization with probability one, State feedback control



Abstract: 
This study is concerned with probabilistic Boolean control networks (PBCNs) with state feedback control. A novel definition of bisimilar PBCNs is proposed to lower computational complexity. To understand more on bisimulation relations between PBCNs, we resort to a powerful matrix manipulation called semi-tensor product (STP). Because stabilization of networks is of critical importance, the propagation of stabilization with probability one between bisimilar PBCNs is then considered and proved to be attainable. Additionally, the transient periods (the maximum number of steps to implement stabilization) of two PBCNs are certified to be identical if these two networks are paired with a bisimulation relation. The results are then extended to the probabilistic Boolean networks.

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