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Collaborative Optimal Formation Control for Heterogeneous Multi-Agent Systems

In this paper, the distributed optimal control method is used to study the cooperative formation of heterogeneous multi-agents in the air–ground environment. The considered system consists of an unmanned aerial vehicle (UAV) and an unmanned ground vehicle (UGV). The optimal control theory is introdu...

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Autores principales: Li, Yandong, Liu, Meichen, Lian, Jiya, Guo, Yuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9602072/
https://www.ncbi.nlm.nih.gov/pubmed/37420460
http://dx.doi.org/10.3390/e24101440
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author Li, Yandong
Liu, Meichen
Lian, Jiya
Guo, Yuan
author_facet Li, Yandong
Liu, Meichen
Lian, Jiya
Guo, Yuan
author_sort Li, Yandong
collection PubMed
description In this paper, the distributed optimal control method is used to study the cooperative formation of heterogeneous multi-agents in the air–ground environment. The considered system consists of an unmanned aerial vehicle (UAV) and an unmanned ground vehicle (UGV). The optimal control theory is introduced into the formation control protocol, the distributed optimal formation control protocol is designed, and the stability is verified by graph theory. Furthermore, the cooperative optimal formation control protocol is designed, and the stability is analyzed using a block Kronecker product and matrix transformation theory. Through the comparison of simulation results, the introduction of optimal control theory shortens the formation time of the system and accelerates the convergence speed of the system.
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spelling pubmed-96020722022-10-27 Collaborative Optimal Formation Control for Heterogeneous Multi-Agent Systems Li, Yandong Liu, Meichen Lian, Jiya Guo, Yuan Entropy (Basel) Article In this paper, the distributed optimal control method is used to study the cooperative formation of heterogeneous multi-agents in the air–ground environment. The considered system consists of an unmanned aerial vehicle (UAV) and an unmanned ground vehicle (UGV). The optimal control theory is introduced into the formation control protocol, the distributed optimal formation control protocol is designed, and the stability is verified by graph theory. Furthermore, the cooperative optimal formation control protocol is designed, and the stability is analyzed using a block Kronecker product and matrix transformation theory. Through the comparison of simulation results, the introduction of optimal control theory shortens the formation time of the system and accelerates the convergence speed of the system. MDPI 2022-10-10 /pmc/articles/PMC9602072/ /pubmed/37420460 http://dx.doi.org/10.3390/e24101440 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Li, Yandong
Liu, Meichen
Lian, Jiya
Guo, Yuan
Collaborative Optimal Formation Control for Heterogeneous Multi-Agent Systems
title Collaborative Optimal Formation Control for Heterogeneous Multi-Agent Systems
title_full Collaborative Optimal Formation Control for Heterogeneous Multi-Agent Systems
title_fullStr Collaborative Optimal Formation Control for Heterogeneous Multi-Agent Systems
title_full_unstemmed Collaborative Optimal Formation Control for Heterogeneous Multi-Agent Systems
title_short Collaborative Optimal Formation Control for Heterogeneous Multi-Agent Systems
title_sort collaborative optimal formation control for heterogeneous multi-agent systems
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9602072/
https://www.ncbi.nlm.nih.gov/pubmed/37420460
http://dx.doi.org/10.3390/e24101440
work_keys_str_mv AT liyandong collaborativeoptimalformationcontrolforheterogeneousmultiagentsystems
AT liumeichen collaborativeoptimalformationcontrolforheterogeneousmultiagentsystems
AT lianjiya collaborativeoptimalformationcontrolforheterogeneousmultiagentsystems
AT guoyuan collaborativeoptimalformationcontrolforheterogeneousmultiagentsystems