Diffusive network connected chemical reaction networks

A novel type of networked Chemical Reaction Network (CRN) model is proposed in this paper where the CRN subsystem nodes are connected in a bi-directional state-difference-driven way, forming a diffusive network. The diffusive connecting elements can also be dynamic and can be modelled as open linear CRN subsystems. It has been shown that the overall model of the diffusively connected CRN network is also in a CRN form with block-structured complex composition and Kirchhoff matrices that can be constructed from the network topology and the individual models of the network nodes. Considering static diffusive manipulable and disturbance inputs, setpoint tracking and disturbance attenuation controllers have also been proposed. The properties of the introduced model and controller are illustrated through a case study.

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Publication Details

Journal
Systems Science & Control Engineering
Published
2025-02-28
DOI
https://doi.org/10.1080/21642583.2025.2469615
Primary Topic
Gene Regulatory Network Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Diffusive network connected chemical reaction networks

Katalin M. Hangos, Wijaya Kurniawan, Lőrinc Márton
Systems Science & Control Engineering
Gene Regulatory Network Analysis
article

Diffusive network connected chemical reaction networks

Katalin M. Hangos, Wijaya Kurniawan, Lőrinc Márton
article en

Abstract

A novel type of networked Chemical Reaction Network (CRN) model is proposed in this paper where the CRN subsystem nodes are connected in a bi-directional state-difference-driven way, forming a diffusive network. The diffusive connecting elements can also be dynamic and can be modelled as open linear CRN subsystems. It has been shown that the overall model of the diffusively connected CRN network is also in a CRN form with block-structured complex composition and Kirchhoff matrices that can be constructed from the network topology and the individual models of the network nodes. Considering static diffusive manipulable and disturbance inputs, setpoint tracking and disturbance attenuation controllers have also been proposed. The properties of the introduced model and controller are illustrated through a case study.

Systems Science & Control EngineeringVol. 13(1)
University of Pannonia (HU), University of Brawijaya (ID), HUN-REN Institute for Computer Science and Control (HU), Sapientia Hungarian University of Transylvania (RO)
Nemzeti Kutatási Fejlesztési és Innovációs Hivatal
Openalex Percentile: Top 97%
Gene Regulatory Network Analysis
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