Flexible distributed fencing control for Euler–Lagrange multi‐agent systems with moving target

Abstract In this paper, a flexible distributed fencing controller based on Euler–Lagrange dynamics is proposed, which could cooperatively fence a moving target with unknown but constant velocity within the convex hull formed by the agents while ensuring collision avoidance and stable formation. It is worth noting that we consider the nonlinear characteristics of complex systems and adopt Euler–Lagrangian dynamics instead of linear systems for modeling, while no label is predetermined for the agent. To enforce velocity matching between the agents and the target, a flexible distributed fencing control strategy accounting for unknown dynamic parameters is designed using only the relative position information of the target and the agents. The effectiveness of the controller is verified by rigorous theoretical analysis and extensive numerical simulations.

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Publication Details

Journal
Asian Journal of Control
Published
2026-02-11
DOI
https://doi.org/10.1002/asjc.70086
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
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article

Flexible distributed fencing control for Euler–Lagrange multi‐agent systems with moving target

Xinyi Zhao, Benyuan Sun, Bailing Tian, Fengming Sun et al.
Asian Journal of Control
Distributed Control Multi-Agent Systems
article

Flexible distributed fencing control for Euler–Lagrange multi‐agent systems with moving target

Xinyi Zhao, Benyuan Sun, Bailing Tian, Fengming Sun, Zenghui Yue, Xiaorui Guo
article en

Abstract

Abstract In this paper, a flexible distributed fencing controller based on Euler–Lagrange dynamics is proposed, which could cooperatively fence a moving target with unknown but constant velocity within the convex hull formed by the agents while ensuring collision avoidance and stable formation. It is worth noting that we consider the nonlinear characteristics of complex systems and adopt Euler–Lagrangian dynamics instead of linear systems for modeling, while no label is predetermined for the agent. To enforce velocity matching between the agents and the target, a flexible distributed fencing control strategy accounting for unknown dynamic parameters is designed using only the relative position information of the target and the agents. The effectiveness of the controller is verified by rigorous theoretical analysis and extensive numerical simulations.

Asian Journal of Control
Tianjin University (CN), Civil Aviation University of China (CN)
Openalex Percentile: Top 64%
Distributed Control Multi-Agent Systems
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