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Asian Journal of Control
Article . 2022 . Peer-reviewed
License: Wiley Online Library User Agreement
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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
zbMATH Open
Article . 2023
Data sources: zbMATH Open
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Finite‐time observability of probabilistic Boolean control networks

Finite-time observability of probabilistic Boolean control networks
Authors: Qinyao Pan; Jie Zhong; Lin Lin; Bowen Li; Xiaoxu Liu;

Finite‐time observability of probabilistic Boolean control networks

Abstract

AbstractIn this paper, the finite‐time observability (FO) of probabilistic Boolean control networks (PBCNs) based on set reachability and parallel extension is investigated. Under algebraic state space representation of PBCNs, finite‐time set reachability (FSR), finite‐time single input sequence set reachability (FSSSR), finite‐time arbitrary input sequence set reachability (FASSR), as well as finite‐time output feedback set reachability (FOSR) are addressed, where some efficient criteria are proposed. In the second part of this paper, several types of FO are provided, which can be converted to the corresponding FSR based on the parallel extension technique. Consequently, the obtained results for FSR are utilized to deal with FO. Finally, two examples including a biological network are given to demonstrate the theoretical results.

Related Organizations
Keywords

Observability, observability, set reachability, probabilistic Boolean control networks, semi-tensor product, Boolean control/observation systems, Feedback control

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
16
Top 10%
Top 10%
Top 10%
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