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.
Authors
- Gang Zheng (ORCID: https://orcid.org/0000-0002-5671-7700)
- Haoyue Yang (ORCID: https://orcid.org/0000-0001-8867-6504)
- Shihuang Hong (ORCID: https://orcid.org/0000-0001-8153-874X)
- Junfeng Zhang (ORCID: https://orcid.org/0000-0001-9792-8232)
- Bhatti Uzair Aslam
Institutions
- Centre National de la Recherche Scientifique (FR)
- Hainan University (CN)
- Université de Lille (FR)
- École Centrale de Lille (FR)
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
Funders
- National Natural Science Foundation of China