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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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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. |
format | Online Article Text |
id | pubmed-6210384 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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