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Formation Tracking Control for Multi-Agent Networks with Fixed Time Convergence via Terminal Sliding Mode Control Approach

This paper investigates formation tracking control for multi-agent networks with fixed time convergence. The control task is that the follower agents are required to form a prescribed formation within a fixed time and the geometric center of the formation moves in sync with the leader. First, an err...

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Detalles Bibliográficos
Autores principales: Xu, Guang-Hui, Li, Meng, Chen, Jie, Lai, Qiang, Zhao, Xiao-Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7922039/
https://www.ncbi.nlm.nih.gov/pubmed/33670543
http://dx.doi.org/10.3390/s21041416
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author Xu, Guang-Hui
Li, Meng
Chen, Jie
Lai, Qiang
Zhao, Xiao-Wen
author_facet Xu, Guang-Hui
Li, Meng
Chen, Jie
Lai, Qiang
Zhao, Xiao-Wen
author_sort Xu, Guang-Hui
collection PubMed
description This paper investigates formation tracking control for multi-agent networks with fixed time convergence. The control task is that the follower agents are required to form a prescribed formation within a fixed time and the geometric center of the formation moves in sync with the leader. First, an error system is designed by using the information of adjacent agents and a new control protocol is designed based on the error system and terminal sliding mode control (TSMC). Then, via employing the Lyapunov stability theorem and the fixed time stability theorem, the control task is proved to be possible within a fixed time and the convergence time can be calculated by parameters. Finally, numerical results illustrate the feasibility of the proposed control protocol.
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spelling pubmed-79220392021-03-03 Formation Tracking Control for Multi-Agent Networks with Fixed Time Convergence via Terminal Sliding Mode Control Approach Xu, Guang-Hui Li, Meng Chen, Jie Lai, Qiang Zhao, Xiao-Wen Sensors (Basel) Communication This paper investigates formation tracking control for multi-agent networks with fixed time convergence. The control task is that the follower agents are required to form a prescribed formation within a fixed time and the geometric center of the formation moves in sync with the leader. First, an error system is designed by using the information of adjacent agents and a new control protocol is designed based on the error system and terminal sliding mode control (TSMC). Then, via employing the Lyapunov stability theorem and the fixed time stability theorem, the control task is proved to be possible within a fixed time and the convergence time can be calculated by parameters. Finally, numerical results illustrate the feasibility of the proposed control protocol. MDPI 2021-02-18 /pmc/articles/PMC7922039/ /pubmed/33670543 http://dx.doi.org/10.3390/s21041416 Text en © 2021 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Xu, Guang-Hui
Li, Meng
Chen, Jie
Lai, Qiang
Zhao, Xiao-Wen
Formation Tracking Control for Multi-Agent Networks with Fixed Time Convergence via Terminal Sliding Mode Control Approach
title Formation Tracking Control for Multi-Agent Networks with Fixed Time Convergence via Terminal Sliding Mode Control Approach
title_full Formation Tracking Control for Multi-Agent Networks with Fixed Time Convergence via Terminal Sliding Mode Control Approach
title_fullStr Formation Tracking Control for Multi-Agent Networks with Fixed Time Convergence via Terminal Sliding Mode Control Approach
title_full_unstemmed Formation Tracking Control for Multi-Agent Networks with Fixed Time Convergence via Terminal Sliding Mode Control Approach
title_short Formation Tracking Control for Multi-Agent Networks with Fixed Time Convergence via Terminal Sliding Mode Control Approach
title_sort formation tracking control for multi-agent networks with fixed time convergence via terminal sliding mode control approach
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7922039/
https://www.ncbi.nlm.nih.gov/pubmed/33670543
http://dx.doi.org/10.3390/s21041416
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