Cargando…
Determination of the characteristic curves of a nonlinear first order system from Fourier analysis
Based on Fourier analysis, we develop an expression for modeling and simulating nonlinear first order systems. This expression is associated to a nonlinear first order differential equation [Formula: see text] , where [Formula: see text] is the dynamical variable, [Formula: see text] is the driving...
Autor principal: | |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9895081/ https://www.ncbi.nlm.nih.gov/pubmed/36732351 http://dx.doi.org/10.1038/s41598-023-29151-5 |
_version_ | 1784881873394073600 |
---|---|
author | Gonzalez, Federico J. |
author_facet | Gonzalez, Federico J. |
author_sort | Gonzalez, Federico J. |
collection | PubMed |
description | Based on Fourier analysis, we develop an expression for modeling and simulating nonlinear first order systems. This expression is associated to a nonlinear first order differential equation [Formula: see text] , where [Formula: see text] is the dynamical variable, [Formula: see text] is the driving force, and the f and g functions are the characteristic curves which are associated to dissipative and memory elements, respectively. The model is obtained from the sinusoidal response, specifically by calculating the Fourier analysis of y(t) for [Formula: see text] , where the model parameters are the Fourier coefficients of the response, and the values of [Formula: see text] , [Formula: see text] and [Formula: see text] . The same expression is used for two kinds of time-domain simulations: to calculate other driving force [Formula: see text] based on a dynamical variable [Formula: see text] ; and, to calculate the dynamical variable [Formula: see text] based on a driving force [Formula: see text] . In both cases, the dynamical variable must remain in the range [Formula: see text] . By analyzing this expression, we found an equivalence between the Fourier coefficients and the polynomial regressions of the characteristic curves of f and g. This result allows us to obtain the system modeling and simulation based on the amplitude and phase Fourier spectrum obtained from the Fast Fourier Transform (FFT) of the sampled [Formula: see text] version of y(t). It is shown that this technique has a low computational complexity, and it is expected to be suitable for real-time applications for system modeling, simulation and control, in particular when the explicit expressions of the characteristic curves are unknown. Fourier analysis is a fundamental tool in electronics, mathematics and physics, but to the best of the author’s knowledge, no work has found this clear evidence of the connection between the Fourier analysis and a first order differential equation. The aim of this work is to initiate a systematic study on this topic. |
format | Online Article Text |
id | pubmed-9895081 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98950812023-02-04 Determination of the characteristic curves of a nonlinear first order system from Fourier analysis Gonzalez, Federico J. Sci Rep Article Based on Fourier analysis, we develop an expression for modeling and simulating nonlinear first order systems. This expression is associated to a nonlinear first order differential equation [Formula: see text] , where [Formula: see text] is the dynamical variable, [Formula: see text] is the driving force, and the f and g functions are the characteristic curves which are associated to dissipative and memory elements, respectively. The model is obtained from the sinusoidal response, specifically by calculating the Fourier analysis of y(t) for [Formula: see text] , where the model parameters are the Fourier coefficients of the response, and the values of [Formula: see text] , [Formula: see text] and [Formula: see text] . The same expression is used for two kinds of time-domain simulations: to calculate other driving force [Formula: see text] based on a dynamical variable [Formula: see text] ; and, to calculate the dynamical variable [Formula: see text] based on a driving force [Formula: see text] . In both cases, the dynamical variable must remain in the range [Formula: see text] . By analyzing this expression, we found an equivalence between the Fourier coefficients and the polynomial regressions of the characteristic curves of f and g. This result allows us to obtain the system modeling and simulation based on the amplitude and phase Fourier spectrum obtained from the Fast Fourier Transform (FFT) of the sampled [Formula: see text] version of y(t). It is shown that this technique has a low computational complexity, and it is expected to be suitable for real-time applications for system modeling, simulation and control, in particular when the explicit expressions of the characteristic curves are unknown. Fourier analysis is a fundamental tool in electronics, mathematics and physics, but to the best of the author’s knowledge, no work has found this clear evidence of the connection between the Fourier analysis and a first order differential equation. The aim of this work is to initiate a systematic study on this topic. Nature Publishing Group UK 2023-02-02 /pmc/articles/PMC9895081/ /pubmed/36732351 http://dx.doi.org/10.1038/s41598-023-29151-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Gonzalez, Federico J. Determination of the characteristic curves of a nonlinear first order system from Fourier analysis |
title | Determination of the characteristic curves of a nonlinear first order system from Fourier analysis |
title_full | Determination of the characteristic curves of a nonlinear first order system from Fourier analysis |
title_fullStr | Determination of the characteristic curves of a nonlinear first order system from Fourier analysis |
title_full_unstemmed | Determination of the characteristic curves of a nonlinear first order system from Fourier analysis |
title_short | Determination of the characteristic curves of a nonlinear first order system from Fourier analysis |
title_sort | determination of the characteristic curves of a nonlinear first order system from fourier analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9895081/ https://www.ncbi.nlm.nih.gov/pubmed/36732351 http://dx.doi.org/10.1038/s41598-023-29151-5 |
work_keys_str_mv | AT gonzalezfedericoj determinationofthecharacteristiccurvesofanonlinearfirstordersystemfromfourieranalysis |