Linear Programming-Based Consensus of Positive Continuous-Time Multi-Agent Systems

Dear Editor, This letter deals with the consensus of positive multi-agent systems (PMASs). A consensus protocol is proposed by introducing a finite consensus point. An error is defined as the differences in the linear combination of the agent states, the agent states, and the finite consensus point. Under the consensus protocol, an error system is constructed, and it refers to the error term and the finite consensus point. A linear programming (LP)-based equation is given to remove the dependence of the finite consensus point. By virtue of the property of a directed graph, an error-independent system is obtained. A copositive Lyapunov function (CLF) is used to derive the consensus of the systems.

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Publication Details

Journal
IEEE/CAA Journal of Automatica Sinica
Published
2024-11-20
DOI
https://doi.org/10.1109/jas.2024.124716
Citations
1
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.35

Funders

Controls
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article

Linear Programming-Based Consensus of Positive Continuous-Time Multi-Agent Systems

Shihong Ding, Fengyu Lin, Wei Xing, Junfeng Zhang
1 citations
IEEE/CAA Journal of Automatica Sinica
Distributed Control Multi-Agent Systems
0.35
article

Linear Programming-Based Consensus of Positive Continuous-Time Multi-Agent Systems

Shihong Ding, Fengyu Lin, Wei Xing, Junfeng Zhang
article en
1 citations

Abstract

Dear Editor, This letter deals with the consensus of positive multi-agent systems (PMASs). A consensus protocol is proposed by introducing a finite consensus point. An error is defined as the differences in the linear combination of the agent states, the agent states, and the finite consensus point. Under the consensus protocol, an error system is constructed, and it refers to the error term and the finite consensus point. A linear programming (LP)-based equation is given to remove the dependence of the finite consensus point. By virtue of the property of a directed graph, an error-independent system is obtained. A copositive Lyapunov function (CLF) is used to derive the consensus of the systems.

IEEE/CAA Journal of Automatica SinicaVol. 11(12)
Jiangsu University (CN), Hainan University (CN), Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 36%
Distributed Control Multi-Agent Systems
0.35
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