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.
Authors
- Shanying Zhu (ORCID: https://orcid.org/0000-0003-4860-4519)
- Cailian Chen (ORCID: https://orcid.org/0000-0001-6533-8713)
- Ziwen Yang (ORCID: https://orcid.org/0000-0002-5591-0656)
- Mengmeng Duan (ORCID: https://orcid.org/0000-0002-0753-6663)
- Fengping Huang (ORCID: https://orcid.org/0009-0003-8213-938X)
Institutions
- Ministry of Education of the People's Republic of China (CN)
- Shanghai Jiao Tong University (CN)
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
Funders
- National Natural Science Foundation of China
- National Key Research and Development Program of China