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An Interactive Control Algorithm Used for Equilateral Triangle Formation with Robotic Sensors

This paper describes an interactive control algorithm, called Triangle Formation Algorithm (TFA), used for three neighboring robotic sensors which are distributed randomly to self-organize into and equilateral triangle (E) formation. The algorithm is proposed based on the triangular geometry and con...

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Detalles Bibliográficos
Autores principales: Li, Xiang, Chen, Hongcai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029652/
https://www.ncbi.nlm.nih.gov/pubmed/24759118
http://dx.doi.org/10.3390/s140407229
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author Li, Xiang
Chen, Hongcai
author_facet Li, Xiang
Chen, Hongcai
author_sort Li, Xiang
collection PubMed
description This paper describes an interactive control algorithm, called Triangle Formation Algorithm (TFA), used for three neighboring robotic sensors which are distributed randomly to self-organize into and equilateral triangle (E) formation. The algorithm is proposed based on the triangular geometry and considering the actual sensors used in robotics. In particular, the stability of the TFA, which can be executed by robotic sensors independently and asynchronously for E formation, is analyzed in details based on Lyapunov stability theory. Computer simulations are carried out for verifying the effectiveness of the TFA. The analytical results and simulation studies indicate that three neighboring robots employing conventional sensors can self-organize into E formations successfully regardless of their initial distribution using the same TFAs.
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spelling pubmed-40296522014-05-22 An Interactive Control Algorithm Used for Equilateral Triangle Formation with Robotic Sensors Li, Xiang Chen, Hongcai Sensors (Basel) Article This paper describes an interactive control algorithm, called Triangle Formation Algorithm (TFA), used for three neighboring robotic sensors which are distributed randomly to self-organize into and equilateral triangle (E) formation. The algorithm is proposed based on the triangular geometry and considering the actual sensors used in robotics. In particular, the stability of the TFA, which can be executed by robotic sensors independently and asynchronously for E formation, is analyzed in details based on Lyapunov stability theory. Computer simulations are carried out for verifying the effectiveness of the TFA. The analytical results and simulation studies indicate that three neighboring robots employing conventional sensors can self-organize into E formations successfully regardless of their initial distribution using the same TFAs. MDPI 2014-04-22 /pmc/articles/PMC4029652/ /pubmed/24759118 http://dx.doi.org/10.3390/s140407229 Text en © 2014 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 license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Li, Xiang
Chen, Hongcai
An Interactive Control Algorithm Used for Equilateral Triangle Formation with Robotic Sensors
title An Interactive Control Algorithm Used for Equilateral Triangle Formation with Robotic Sensors
title_full An Interactive Control Algorithm Used for Equilateral Triangle Formation with Robotic Sensors
title_fullStr An Interactive Control Algorithm Used for Equilateral Triangle Formation with Robotic Sensors
title_full_unstemmed An Interactive Control Algorithm Used for Equilateral Triangle Formation with Robotic Sensors
title_short An Interactive Control Algorithm Used for Equilateral Triangle Formation with Robotic Sensors
title_sort interactive control algorithm used for equilateral triangle formation with robotic sensors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4029652/
https://www.ncbi.nlm.nih.gov/pubmed/24759118
http://dx.doi.org/10.3390/s140407229
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