Sampled-data stabilization of delayed Boolean control networks with state inequality constraints.

Xiangshan Kong, Enguo Gu, Xinyun Liu, Yalu Li, Guanpeng Wang

Abstract read

In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Xiangshan KongSchool of Mathematics and Statistics, Weifang University, Weifang, China.

Enguo GuBasic Teaching Department, Weifang Engineering Vocational College, Qingzhou, China.

Xinyun LiuSchool of Mathematics and Statistics, Weifang University, Weifang, China.

Yalu LiSchool of Mathematics and Statistics, Qingdao University, Qingdao, China.

Guanpeng WangSchool of Mathematics and Statistics, Weifang University, Weifang, China. wguanpeng@163.com.

Funding

China Postdoctoral Science Foundation 2024M761555National Natural Science Foundation of China 62403262

6 · The paper itself

Abstract

This paper studies the set stabilization of delayed Boolean control networks (DBCNs) with state inequality constraints via time-variant nonuniform sampled-data control. State inequality constraints are introduced into DBCNs. Firstly, the equivalent algebraic forms of DBCNs and the solution set of state inequality constraints are constructed via the algebraic state space representation approach, based on which an inequality constrained controllability matrix is constructed. Then, by the inequality constrained controllability matrix, new criteria are proposed for the nonuniform sampled-data inequality constrained reachability of DBCNs. Finally, a time-variant nonuniform sampled-data stabilizers are designed for DBCNs by utilizing the nonuniform sampled-data inequality constrained reachability. The effectiveness of the obtained results is verified through the cell apoptosis network.

Indexed as

Algebraic state space representationDelayed Boolean control networksNonuniform sampled-data controlStabilizationState inequality constraints

Identifiers

PMID40399401

DOI10.1038/s41598-025-02737-x

PMCPMC12095701

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.