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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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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. |
format | Online Article Text |
id | pubmed-9602072 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |