Distributed optimization consensus for multi-agent systems on matrix-weighted networks
In this paper, the distributed optimization consensus issues for both first-order continuous time (CT) and discrete-time (DT) multi-agent systems (MASs) on matrix-weighted networks are studied. In order to make each agent achieve optimization consensus, a new matrix-weighted distributed optimization algorithm for CT and DT MASs is proposed. Using the Lyapunov stability theory and matrix theory, the optimization consensus conditions are obtained, respectively. Finally, the correctness of our results is verifiied by numerical examples.
Authors
- Suoxia Miao (ORCID: https://orcid.org/0000-0001-5913-3586)
- Yaping Sun (ORCID: https://orcid.org/0000-0002-8733-2467)
- Housheng Su (ORCID: https://orcid.org/0000-0002-7321-2923)
- Qing An (ORCID: https://orcid.org/0000-0002-3219-2591)
- Ruiying Xiong (ORCID: https://orcid.org/0009-0007-5932-5271)
- Chaoeng Bao
Institutions
- Jiangxi University of Water Resources and Electric Power (CN)
- Sichuan University (CN)
- Guangxi Normal University (CN)
- Wuchang University of Technology (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Chaos An Interdisciplinary Journal of Nonlinear Science
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1063/5.0235296
- Citations
- 3
- Primary Topic
- Distributed Control Multi-Agent Systems
- Type
- article
- Field-Weighted Citation Impact
- 1.05
Funders
- National Natural Science Foundation of China