Group consensus for second-order heterogeneous multi-agent systems under input constraints

In this research, the group consensus problem of second-order heterogeneous multi-agent systems with second-order linear and second-order nonlinear agents is studied. A control protocol with and without input constraint is proposed for the system. Based on graph theory, Lyapunov’s technology, LaSalle’s invariance principle, and other mathematical methods, it is proved that agents in heterogeneous systems can be grouped and reach consensus through control protocols. The conditions for the system to achieve group agreement are proved. Finally, some simulations are carried out to verify the effectiveness of the proposed method.

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Publication Details

Journal
Transactions of the Institute of Measurement and Control
Published
2025-05-08
DOI
https://doi.org/10.1177/01423312251330345
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
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article

Group consensus for second-order heterogeneous multi-agent systems under input constraints

Lingli Cheng, Qingsheng Yang, Chang Du, Bo Wu et al.
Transactions of the Institute of Measurement and Control
Distributed Control Multi-Agent Systems
article

Group consensus for second-order heterogeneous multi-agent systems under input constraints

Lingli Cheng, Qingsheng Yang, Chang Du, Bo Wu, Xisheng Zhan
article en

Abstract

In this research, the group consensus problem of second-order heterogeneous multi-agent systems with second-order linear and second-order nonlinear agents is studied. A control protocol with and without input constraint is proposed for the system. Based on graph theory, Lyapunov’s technology, LaSalle’s invariance principle, and other mathematical methods, it is proved that agents in heterogeneous systems can be grouped and reach consensus through control protocols. The conditions for the system to achieve group agreement are proved. Finally, some simulations are carried out to verify the effectiveness of the proposed method.

Transactions of the Institute of Measurement and Control
Hubei Normal University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Hubei Province
Openalex Percentile: Top 90%
Distributed Control Multi-Agent Systems
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