Distributed optimal formation control of heterogeneous Euler–Lagrange multi-agent systems

In this paper, the distributed optimal formation control problem of heterogeneous Euler–Lagrange multi-agent systems with generic formation constraints and inequality constraints is investigated. Based on the primal–dual dynamics and the adaptive control technique, a distributed optimal formation controller consists of a velocity reference signal generator and a velocity tracking controller is proposed. By using the optimality condition, the relationship between the equilibrium point of the closed-loop system and the optimal solution of the optimization problem is established. Then, by utilizing Lyapunov stability analysis, it is rigorously proved that the optimal formation is reached with the proposed controller. Lastly, simulation examples are provided to substantiate the theoretical results.

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Publication Details

Journal
Journal of Automation and Intelligence
Published
2025-03-29
DOI
https://doi.org/10.1016/j.jai.2025.03.007
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
0.00

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Controls
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Distributed optimal formation control of heterogeneous Euler–Lagrange multi-agent systems

Shanying Zhu, Cailian Chen, Ziwen Yang, Mengmeng Duan et al.
Journal of Automation and Intelligence
Distributed Control Multi-Agent Systems
article

Distributed optimal formation control of heterogeneous Euler–Lagrange multi-agent systems

Shanying Zhu, Cailian Chen, Ziwen Yang, Mengmeng Duan, Fengping Huang
article en

Abstract

In this paper, the distributed optimal formation control problem of heterogeneous Euler–Lagrange multi-agent systems with generic formation constraints and inequality constraints is investigated. Based on the primal–dual dynamics and the adaptive control technique, a distributed optimal formation controller consists of a velocity reference signal generator and a velocity tracking controller is proposed. By using the optimality condition, the relationship between the equilibrium point of the closed-loop system and the optimal solution of the optimization problem is established. Then, by utilizing Lyapunov stability analysis, it is rigorously proved that the optimal formation is reached with the proposed controller. Lastly, simulation examples are provided to substantiate the theoretical results.

Journal of Automation and IntelligenceVol. 4(4)
Ministry of Education of the People's Republic of China (CN), Shanghai Jiao Tong University (CN)
National Natural Science Foundation of China, National Key Research and Development Program of China
Openalex Percentile: Top 94%
Distributed Control Multi-Agent Systems
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Distributed optimal formation control of heterogeneous Euler–Lagrange multi-agent systems — Shanying Zhu, Cailian Chen, et al. · Journal of Automation and Intelligence (2025) | TGRS Research Map | TGRS