Angle Rigidity-Based Communication-Free Adaptive Formation Control for Nonlinear Multiagent Systems With Prescribed Performance

Angle-constrained formation control has garnered significant attention owing to the advantage of interedge angles invariant under translation, rotation, and scaling. However, most existing approaches addressing this problem are applicable only to single- or double-integrator dynamics, which are often impractical in real-world scenarios. In this article, an angle rigidity-based adaptive formation control framework is introduced for nonlinear multiagent systems subject to mismatched uncertainties. The proposed control framework integrates a prescribed performance control approach with a recursive backstepping procedure, offering several key advantages: the capability to handle unmatched system uncertainties, the preservation of angle rigidity throughout the formation process, and the assurance that the triangulated formation shape is asymptotically achieved without risking collisions between neighboring agents. Furthermore, since the control input of each agent only requires local information related to its neighbors, which can be obtained locally from its own sensors, the proposed control method can be deployed in a communication-free environment. The effectiveness of the proposed control algorithms is validated by extensive numerical simulation.

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Publication Details

Journal
IEEE Transactions on Cybernetics
Published
2024-11-22
DOI
https://doi.org/10.1109/tcyb.2024.3491177
Citations
5
Primary Topic
Distributed Control Multi-Agent Systems
Type
article
Field-Weighted Citation Impact
1.74

Funders

Controls
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article

Angle Rigidity-Based Communication-Free Adaptive Formation Control for Nonlinear Multiagent Systems With Prescribed Performance

Yujuan Wang, Yongduan Song, Kun Li, Gangshan Jing et al.
5 citations
IEEE Transactions on Cybernetics
Distributed Control Multi-Agent Systems
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article

Angle Rigidity-Based Communication-Free Adaptive Formation Control for Nonlinear Multiagent Systems With Prescribed Performance

Yujuan Wang, Yongduan Song, Kun Li, Gangshan Jing, Lihua Xie
article en
5 citations

Abstract

Angle-constrained formation control has garnered significant attention owing to the advantage of interedge angles invariant under translation, rotation, and scaling. However, most existing approaches addressing this problem are applicable only to single- or double-integrator dynamics, which are often impractical in real-world scenarios. In this article, an angle rigidity-based adaptive formation control framework is introduced for nonlinear multiagent systems subject to mismatched uncertainties. The proposed control framework integrates a prescribed performance control approach with a recursive backstepping procedure, offering several key advantages: the capability to handle unmatched system uncertainties, the preservation of angle rigidity throughout the formation process, and the assurance that the triangulated formation shape is asymptotically achieved without risking collisions between neighboring agents. Furthermore, since the control input of each agent only requires local information related to its neighbors, which can be obtained locally from its own sensors, the proposed control method can be deployed in a communication-free environment. The effectiveness of the proposed control algorithms is validated by extensive numerical simulation.

IEEE Transactions on CyberneticsVol. 55(2)
Chongqing University (CN), Nanyang Technological University (SG)
National Natural Science Foundation of China, Natural Science Foundation of Chongqing, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 14%
Distributed Control Multi-Agent Systems
1.74
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