Distributed Control for Coordinated Tracking of Fixed-Wing Unmanned Aerial Vehicles under Model Uncertainty and Disturbances

In this paper, we consider a control problem where a group of fixed-wing unmanned aerial vehicles (UAVs) with uncertain dynamics tracks the target vehicle cooperatively in the case of external disturbance. Based on the Gaussian process regression, a data-driven model is established, whose uniform er...

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Autores principales:	Qipeng Wang, Shulong Zhao, Xiangke Wang
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	gaussian process regression uniform bound fixed-wing UAV consensus protocol Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/662f45759f074d21a6ba90151ec9ff13
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spelling	oai:doaj.org-article:662f45759f074d21a6ba90151ec9ff132021-11-11T14:58:19ZDistributed Control for Coordinated Tracking of Fixed-Wing Unmanned Aerial Vehicles under Model Uncertainty and Disturbances10.3390/app112198302076-3417https://doaj.org/article/662f45759f074d21a6ba90151ec9ff132021-10-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/21/9830https://doaj.org/toc/2076-3417In this paper, we consider a control problem where a group of fixed-wing unmanned aerial vehicles (UAVs) with uncertain dynamics tracks the target vehicle cooperatively in the case of external disturbance. Based on the Gaussian process regression, a data-driven model is established, whose uniform error is bounded with probability. Then a learning-based consensus protocol for multi-UAVs is designed. The stability of the system is proven via Lyapunov function, and the tracking error is guaranteed to be bounded with a high probability. Finally, the effectiveness of the proposed method is shown in the numerical simulation.Qipeng WangShulong ZhaoXiangke WangMDPI AGarticlegaussian process regressionuniform boundfixed-wing UAVconsensus protocolTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 9830, p 9830 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	gaussian process regression uniform bound fixed-wing UAV consensus protocol Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	gaussian process regression uniform bound fixed-wing UAV consensus protocol Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Qipeng Wang Shulong Zhao Xiangke Wang Distributed Control for Coordinated Tracking of Fixed-Wing Unmanned Aerial Vehicles under Model Uncertainty and Disturbances
description	In this paper, we consider a control problem where a group of fixed-wing unmanned aerial vehicles (UAVs) with uncertain dynamics tracks the target vehicle cooperatively in the case of external disturbance. Based on the Gaussian process regression, a data-driven model is established, whose uniform error is bounded with probability. Then a learning-based consensus protocol for multi-UAVs is designed. The stability of the system is proven via Lyapunov function, and the tracking error is guaranteed to be bounded with a high probability. Finally, the effectiveness of the proposed method is shown in the numerical simulation.
format	article
author	Qipeng Wang Shulong Zhao Xiangke Wang
author_facet	Qipeng Wang Shulong Zhao Xiangke Wang
author_sort	Qipeng Wang
title	Distributed Control for Coordinated Tracking of Fixed-Wing Unmanned Aerial Vehicles under Model Uncertainty and Disturbances
title_short	Distributed Control for Coordinated Tracking of Fixed-Wing Unmanned Aerial Vehicles under Model Uncertainty and Disturbances
title_full	Distributed Control for Coordinated Tracking of Fixed-Wing Unmanned Aerial Vehicles under Model Uncertainty and Disturbances
title_fullStr	Distributed Control for Coordinated Tracking of Fixed-Wing Unmanned Aerial Vehicles under Model Uncertainty and Disturbances
title_full_unstemmed	Distributed Control for Coordinated Tracking of Fixed-Wing Unmanned Aerial Vehicles under Model Uncertainty and Disturbances
title_sort	distributed control for coordinated tracking of fixed-wing unmanned aerial vehicles under model uncertainty and disturbances
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/662f45759f074d21a6ba90151ec9ff13
work_keys_str_mv	AT qipengwang distributedcontrolforcoordinatedtrackingoffixedwingunmannedaerialvehiclesundermodeluncertaintyanddisturbances AT shulongzhao distributedcontrolforcoordinatedtrackingoffixedwingunmannedaerialvehiclesundermodeluncertaintyanddisturbances AT xiangkewang distributedcontrolforcoordinatedtrackingoffixedwingunmannedaerialvehiclesundermodeluncertaintyanddisturbances
_version_	1718437893506072576

Distributed Control for Coordinated Tracking of Fixed-Wing Unmanned Aerial Vehicles under Model Uncertainty and Disturbances

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