An adaptive neural design for planar rigid formation of three coleaders in unknown flowfields

Abstract This article deals with the robust planar rigid formation control problem of three second‐order coleaders with unknown flowfields acting on the velocity and acceleration respectively. To yield the uniform boundedness property of the resulting system, an adaptive projection is introduced to...

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Main Authors: Weibin Chen, Peng Xu, Yang‐Yang Chen
Format: Article
Language:English
Published: Wiley 2024-04-01
Series:IET Control Theory & Applications
Subjects:
Online Access:https://doi.org/10.1049/cth2.12617
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author Weibin Chen
Peng Xu
Yang‐Yang Chen
author_facet Weibin Chen
Peng Xu
Yang‐Yang Chen
author_sort Weibin Chen
collection DOAJ
description Abstract This article deals with the robust planar rigid formation control problem of three second‐order coleaders with unknown flowfields acting on the velocity and acceleration respectively. To yield the uniform boundedness property of the resulting system, an adaptive projection is introduced to design the novel adaptive neural control law. To avoid the derivatives of Gaussian functions of neural networks, dynamic surface is used. Simulation results are provided to illustrate the effectiveness of the proposed control law.
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spelling doaj.art-350a178122444b70940f554acd4f55502024-04-03T04:25:06ZengWileyIET Control Theory & Applications1751-86441751-86522024-04-0118681482410.1049/cth2.12617An adaptive neural design for planar rigid formation of three coleaders in unknown flowfieldsWeibin Chen0Peng Xu1Yang‐Yang Chen2School of Automation Southeast University Nanjing Jiangsu ChinaRobot Department Jiangsu Automation Research Institute Lianyungang Jiangsu ChinaSchool of Automation Southeast University Nanjing Jiangsu ChinaAbstract This article deals with the robust planar rigid formation control problem of three second‐order coleaders with unknown flowfields acting on the velocity and acceleration respectively. To yield the uniform boundedness property of the resulting system, an adaptive projection is introduced to design the novel adaptive neural control law. To avoid the derivatives of Gaussian functions of neural networks, dynamic surface is used. Simulation results are provided to illustrate the effectiveness of the proposed control law.https://doi.org/10.1049/cth2.12617multi‐agent systemsnonlinear control systems
spellingShingle Weibin Chen
Peng Xu
Yang‐Yang Chen
An adaptive neural design for planar rigid formation of three coleaders in unknown flowfields
IET Control Theory & Applications
multi‐agent systems
nonlinear control systems
title An adaptive neural design for planar rigid formation of three coleaders in unknown flowfields
title_full An adaptive neural design for planar rigid formation of three coleaders in unknown flowfields
title_fullStr An adaptive neural design for planar rigid formation of three coleaders in unknown flowfields
title_full_unstemmed An adaptive neural design for planar rigid formation of three coleaders in unknown flowfields
title_short An adaptive neural design for planar rigid formation of three coleaders in unknown flowfields
title_sort adaptive neural design for planar rigid formation of three coleaders in unknown flowfields
topic multi‐agent systems
nonlinear control systems
url https://doi.org/10.1049/cth2.12617
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