Linear programming-based stabilization and synchronization of positive complex networks with dynamic link subsystems

This paper investigates the stabilization and synchronization of positive complex networks with dynamic links. A class of positive complex networks is constructed by introducing dynamic link between nodes. A controller and the corresponding coupling term with respect to links are designed to achieve the positivity and stability of complex networks and link systems, respectively. Then, a synchronization controller and the corresponding coupling term with respect to links and node states are proposed, respectively. The main contributions are as follows: (i) A novel coupling term is constructed to achieve stability and synchronization of positive complex networks, (ii) A stabilization and synchronization framework is constructed by designing two classes of controllers and coupling terms, and (iii) A tractable design, analysis, and computation method is introduced by virtue of linear programming and copositive Lyapunov function. Finally, a simulation example is provided to verify the effectiveness and feasibility of the proposed approaches.

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Publication Details

Journal
PLoS ONE
Published
2025-05-15
DOI
https://doi.org/10.1371/journal.pone.0321582
Primary Topic
Neural Networks Stability and Synchronization
Type
article
Field-Weighted Citation Impact
0.00

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Linear programming-based stabilization and synchronization of positive complex networks with dynamic link subsystems

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Linear programming-based stabilization and synchronization of positive complex networks with dynamic link subsystems

Gang Zheng, Haoyue Yang, Shihuang Hong, Junfeng Zhang, Bhatti Uzair Aslam
article en

Abstract

This paper investigates the stabilization and synchronization of positive complex networks with dynamic links. A class of positive complex networks is constructed by introducing dynamic link between nodes. A controller and the corresponding coupling term with respect to links are designed to achieve the positivity and stability of complex networks and link systems, respectively. Then, a synchronization controller and the corresponding coupling term with respect to links and node states are proposed, respectively. The main contributions are as follows: (i) A novel coupling term is constructed to achieve stability and synchronization of positive complex networks, (ii) A stabilization and synchronization framework is constructed by designing two classes of controllers and coupling terms, and (iii) A tractable design, analysis, and computation method is introduced by virtue of linear programming and copositive Lyapunov function. Finally, a simulation example is provided to verify the effectiveness and feasibility of the proposed approaches.

PLoS ONEVol. 20(5)
Centre National de la Recherche Scientifique (FR), Hainan University (CN), Université de Lille (FR), École Centrale de Lille (FR)
National Natural Science Foundation of China
Openalex Percentile: Top 89%
Neural Networks Stability and Synchronization
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