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A Tactile Sensor Decoupling Process

An improved hybrid homotopy method is proposed to decouple the multi-input model of tactile sensors. The time-embedded homotopy algorithm is proved to be very suitable for solving the problem. Three tracking factors that control the efficiency of the algorithm are studied: tracking operator, stepsiz...

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Detalles Bibliográficos
Autores principales: Xu, Yuyun, Zhuang, Xuekun, Hu, Guangyu, Pan, Hongqing, Shuang, Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210384/
https://www.ncbi.nlm.nih.gov/pubmed/30340376
http://dx.doi.org/10.3390/s18103515
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author Xu, Yuyun
Zhuang, Xuekun
Hu, Guangyu
Pan, Hongqing
Shuang, Feng
author_facet Xu, Yuyun
Zhuang, Xuekun
Hu, Guangyu
Pan, Hongqing
Shuang, Feng
author_sort Xu, Yuyun
collection PubMed
description An improved hybrid homotopy method is proposed to decouple the multi-input model of tactile sensors. The time-embedded homotopy algorithm is proved to be very suitable for solving the problem. Three tracking factors that control the efficiency of the algorithm are studied: tracking operator, stepsize, and accuracy. Trust region methods are applied to track the zero paths instead of the traditional differential algorithm, and a periodic sampling method is proposed to improve the efficiency of the algorithm. Numerical experiments show that both the robustness and accuracy have received a huge boost after the hybrid algorithm is applied.
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spelling pubmed-62103842018-11-02 A Tactile Sensor Decoupling Process Xu, Yuyun Zhuang, Xuekun Hu, Guangyu Pan, Hongqing Shuang, Feng Sensors (Basel) Article An improved hybrid homotopy method is proposed to decouple the multi-input model of tactile sensors. The time-embedded homotopy algorithm is proved to be very suitable for solving the problem. Three tracking factors that control the efficiency of the algorithm are studied: tracking operator, stepsize, and accuracy. Trust region methods are applied to track the zero paths instead of the traditional differential algorithm, and a periodic sampling method is proposed to improve the efficiency of the algorithm. Numerical experiments show that both the robustness and accuracy have received a huge boost after the hybrid algorithm is applied. MDPI 2018-10-18 /pmc/articles/PMC6210384/ /pubmed/30340376 http://dx.doi.org/10.3390/s18103515 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
Xu, Yuyun
Zhuang, Xuekun
Hu, Guangyu
Pan, Hongqing
Shuang, Feng
A Tactile Sensor Decoupling Process
title A Tactile Sensor Decoupling Process
title_full A Tactile Sensor Decoupling Process
title_fullStr A Tactile Sensor Decoupling Process
title_full_unstemmed A Tactile Sensor Decoupling Process
title_short A Tactile Sensor Decoupling Process
title_sort tactile sensor decoupling process
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210384/
https://www.ncbi.nlm.nih.gov/pubmed/30340376
http://dx.doi.org/10.3390/s18103515
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