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Nonparametric estimation for uncertain differential equations
In recent years, the researches on parameter estimation of uncertain differential equations have developed significantly. However, when we deal with some nonparametric uncertain differential equations, the parameter estimation may not be used directly. To deal with these uncertain differential equat...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10025801/ http://dx.doi.org/10.1007/s10700-023-09408-4 |
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author | He, Liu Zhu, Yuanguo Gu, Yajing |
author_facet | He, Liu Zhu, Yuanguo Gu, Yajing |
author_sort | He, Liu |
collection | PubMed |
description | In recent years, the researches on parameter estimation of uncertain differential equations have developed significantly. However, when we deal with some nonparametric uncertain differential equations, the parameter estimation may not be used directly. To deal with these uncertain differential equations, it is important to consider the nonparametric estimation with the help of the observations. As an important branch of uncertain differential equation, autonomous uncertain differential equation may be properly applied to model some uncertain autonomous dynamic systems. In this paper, we propose a Legendre polynomial based method for the nonparametric estimation of autonomous uncertain differential equations. After that, some numerical examples are given and the residuals as well as uncertain hypothesis tests are used to prove the acceptability of these estimations. In application, we consider an atmospheric carbon dioxide model by the proposed method of nonparametric estimation. |
format | Online Article Text |
id | pubmed-10025801 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-100258012023-03-21 Nonparametric estimation for uncertain differential equations He, Liu Zhu, Yuanguo Gu, Yajing Fuzzy Optim Decis Making Article In recent years, the researches on parameter estimation of uncertain differential equations have developed significantly. However, when we deal with some nonparametric uncertain differential equations, the parameter estimation may not be used directly. To deal with these uncertain differential equations, it is important to consider the nonparametric estimation with the help of the observations. As an important branch of uncertain differential equation, autonomous uncertain differential equation may be properly applied to model some uncertain autonomous dynamic systems. In this paper, we propose a Legendre polynomial based method for the nonparametric estimation of autonomous uncertain differential equations. After that, some numerical examples are given and the residuals as well as uncertain hypothesis tests are used to prove the acceptability of these estimations. In application, we consider an atmospheric carbon dioxide model by the proposed method of nonparametric estimation. Springer US 2023-03-20 /pmc/articles/PMC10025801/ http://dx.doi.org/10.1007/s10700-023-09408-4 Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article He, Liu Zhu, Yuanguo Gu, Yajing Nonparametric estimation for uncertain differential equations |
title | Nonparametric estimation for uncertain differential equations |
title_full | Nonparametric estimation for uncertain differential equations |
title_fullStr | Nonparametric estimation for uncertain differential equations |
title_full_unstemmed | Nonparametric estimation for uncertain differential equations |
title_short | Nonparametric estimation for uncertain differential equations |
title_sort | nonparametric estimation for uncertain differential equations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10025801/ http://dx.doi.org/10.1007/s10700-023-09408-4 |
work_keys_str_mv | AT heliu nonparametricestimationforuncertaindifferentialequations AT zhuyuanguo nonparametricestimationforuncertaindifferentialequations AT guyajing nonparametricestimationforuncertaindifferentialequations |