Controllability of state‐triggered impulsive logical control networks with input constraints

Abstract State‐triggered impulsive logical control networks (STILCNs) with input constraints can not only describe the mutation behavior of gene regulatory networks, but also characterize the impact of external environments on them. Under the framework of a hybrid‐index model, this paper investigates controllability of STILCNs with input constraints. By using the techniques of input transformation, quotient mapping, and ‐domain construction, the necessary and sufficient conditions for time‐domain and hybrid‐domain controllability are both derived. Finally, an example is given to demonstrate the correctness and effectiveness of the obtained results.

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Publication Details

Journal
Asian Journal of Control
Published
2025-03-25
DOI
https://doi.org/10.1002/asjc.3607
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Controllability of state‐triggered impulsive logical control networks with input constraints

Min Jiang, Ke Wu, Rongpei Zhou, Jie Chen et al.
Asian Journal of Control
Gene Regulatory Network Analysis
article

Controllability of state‐triggered impulsive logical control networks with input constraints

Min Jiang, Ke Wu, Rongpei Zhou, Jie Chen, Yong Ding
article en

Abstract

Abstract State‐triggered impulsive logical control networks (STILCNs) with input constraints can not only describe the mutation behavior of gene regulatory networks, but also characterize the impact of external environments on them. Under the framework of a hybrid‐index model, this paper investigates controllability of STILCNs with input constraints. By using the techniques of input transformation, quotient mapping, and ‐domain construction, the necessary and sufficient conditions for time‐domain and hybrid‐domain controllability are both derived. Finally, an example is given to demonstrate the correctness and effectiveness of the obtained results.

Asian Journal of ControlVol. 27(6)
University of California, Riverside (US), Nanchang University (CN), National University of Defense Technology (CN), Jiangxi College of Applied Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 95%
Gene Regulatory Network Analysis
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