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Information Theory in Formation Control: An Error Analysis to Multi-Robot Formation

Multi-robot formation control makes prerequisites for a team of robots to execute complex tasks cooperatively, which has been widely applied in both civilian and military scenarios. However, the limited precision of sensors and controllers may inevitably cause position errors in the finally achieved...

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Detalles Bibliográficos
Autores principales: Wan, Shuo, Lu, Jiaxun, Fan, Pingyi, Letaief, Khaled B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513147/
https://www.ncbi.nlm.nih.gov/pubmed/33265707
http://dx.doi.org/10.3390/e20080618
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author Wan, Shuo
Lu, Jiaxun
Fan, Pingyi
Letaief, Khaled B.
author_facet Wan, Shuo
Lu, Jiaxun
Fan, Pingyi
Letaief, Khaled B.
author_sort Wan, Shuo
collection PubMed
description Multi-robot formation control makes prerequisites for a team of robots to execute complex tasks cooperatively, which has been widely applied in both civilian and military scenarios. However, the limited precision of sensors and controllers may inevitably cause position errors in the finally achieved formation, which will affect the tasks undertaken. In this paper, the formation error is analyzed from the viewpoint of information theory. The desired position and the actually achieved position are viewed as two random variables. By calculating the mutual information between them, a lower bound of the formation error is derived. The results provide insights for the estimation of possible formation errors in the multi-robot system, which can assist designers to choose sensors and controllers with proper precision.
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spelling pubmed-75131472020-11-09 Information Theory in Formation Control: An Error Analysis to Multi-Robot Formation Wan, Shuo Lu, Jiaxun Fan, Pingyi Letaief, Khaled B. Entropy (Basel) Article Multi-robot formation control makes prerequisites for a team of robots to execute complex tasks cooperatively, which has been widely applied in both civilian and military scenarios. However, the limited precision of sensors and controllers may inevitably cause position errors in the finally achieved formation, which will affect the tasks undertaken. In this paper, the formation error is analyzed from the viewpoint of information theory. The desired position and the actually achieved position are viewed as two random variables. By calculating the mutual information between them, a lower bound of the formation error is derived. The results provide insights for the estimation of possible formation errors in the multi-robot system, which can assist designers to choose sensors and controllers with proper precision. MDPI 2018-08-20 /pmc/articles/PMC7513147/ /pubmed/33265707 http://dx.doi.org/10.3390/e20080618 Text en © 2018 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 Article
Wan, Shuo
Lu, Jiaxun
Fan, Pingyi
Letaief, Khaled B.
Information Theory in Formation Control: An Error Analysis to Multi-Robot Formation
title Information Theory in Formation Control: An Error Analysis to Multi-Robot Formation
title_full Information Theory in Formation Control: An Error Analysis to Multi-Robot Formation
title_fullStr Information Theory in Formation Control: An Error Analysis to Multi-Robot Formation
title_full_unstemmed Information Theory in Formation Control: An Error Analysis to Multi-Robot Formation
title_short Information Theory in Formation Control: An Error Analysis to Multi-Robot Formation
title_sort information theory in formation control: an error analysis to multi-robot formation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513147/
https://www.ncbi.nlm.nih.gov/pubmed/33265707
http://dx.doi.org/10.3390/e20080618
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AT fanpingyi informationtheoryinformationcontrolanerroranalysistomultirobotformation
AT letaiefkhaledb informationtheoryinformationcontrolanerroranalysistomultirobotformation