Fixed‐Time Consensus of Leader‐Following Second‐Order Nonlinear Multi‐Agent Systems via Dynamic Gains

ABSTRACT This article investigates a fixed‐time consensus problem for a second‐order nonlinear multi‐agent system with a leader and followers. By basing on the backstepping technique, which possesses two constructed dynamic gains, the fixed‐time leader‐following consensus protocols can be developed. During the design procedure, the existing singularity problem on the dynamic gain can be completely avoided, and the homogeneous system theory is used for analyzing the considered multi‐agent system's dynamics. By selecting appropriate Lyapunov function candidates, the focused multi‐agent system can be demonstrated to reach the fixed‐time leader‐following consensus under any initial positions and velocities. Finally, a simulation is given to verify the effectiveness of the proposed consensus method.

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Institutions

Publication Details

Journal
International Journal of Robust and Nonlinear Control
Published
2025-07-18
DOI
https://doi.org/10.1002/rnc.70084
Citations
1
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
1.49

Funders

Controls
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article

Fixed‐Time Consensus of Leader‐Following Second‐Order Nonlinear Multi‐Agent Systems via Dynamic Gains

Zhengrong Xiang, Ronghao Wang, Jiaqi Xu, Jun Mao
1 citations
International Journal of Robust and Nonlinear Control
Distributed Control Multi-Agent Systems
1.49
article

Fixed‐Time Consensus of Leader‐Following Second‐Order Nonlinear Multi‐Agent Systems via Dynamic Gains

Zhengrong Xiang, Ronghao Wang, Jiaqi Xu, Jun Mao
article en
1 citations

Abstract

ABSTRACT This article investigates a fixed‐time consensus problem for a second‐order nonlinear multi‐agent system with a leader and followers. By basing on the backstepping technique, which possesses two constructed dynamic gains, the fixed‐time leader‐following consensus protocols can be developed. During the design procedure, the existing singularity problem on the dynamic gain can be completely avoided, and the homogeneous system theory is used for analyzing the considered multi‐agent system's dynamics. By selecting appropriate Lyapunov function candidates, the focused multi‐agent system can be demonstrated to reach the fixed‐time leader‐following consensus under any initial positions and velocities. Finally, a simulation is given to verify the effectiveness of the proposed consensus method.

International Journal of Robust and Nonlinear ControlVol. 35(18)
Nanjing University of Science and Technology (CN), PLA Army Engineering University (CN), China Jiliang University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province
Openalex Percentile: Top 14%
Distributed Control Multi-Agent Systems
1.49
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