Estimation of perturbations without modeling assumptions in second-order ordinary differential equations : Notas de Matemática, 48
This paper is concerned with the estimation of a small perturbing function affecting a system of second-order ODEs, in order to get a solution of it fitting a given set of measurements. The classical approach consist of perturbation modeling and least-squares parameter specification. Alternative pro...
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I19-R120-10915-1703102024-09-18T04:11:17Z http://sedici.unlp.edu.ar/handle/10915/170310 Estimation of perturbations without modeling assumptions in second-order ordinary differential equations : Notas de Matemática, 48 Rodríguez, Rodolfo 1988 2024-09-17T17:35:48Z en Matemática This paper is concerned with the estimation of a small perturbing function affecting a system of second-order ODEs, in order to get a solution of it fitting a given set of measurements. The classical approach consist of perturbation modeling and least-squares parameter specification. Alternative procedures are needed when no a-priori adequate perturbation model is at disposal. A general scheme for methods needing no modeling assumption is introduced and a complete error analysis of them is obtained. Tills error characterisation allows to determine methods minimising the effect of each error source; therefore, optimal schemes under different restrictions are deduced. Material digitalizado en SEDICI gracias a la colaboración de la Biblioteca del Departamento de Matemática de la Facultad de Ciencias Exactas (UNLP). Facultad de Ciencias Exactas Publicacion seriada Publicacion seriada http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) application/pdf |
institution |
Universidad Nacional de La Plata |
institution_str |
I-19 |
repository_str |
R-120 |
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SEDICI (UNLP) |
language |
Inglés |
topic |
Matemática |
spellingShingle |
Matemática Rodríguez, Rodolfo Estimation of perturbations without modeling assumptions in second-order ordinary differential equations : Notas de Matemática, 48 |
topic_facet |
Matemática |
description |
This paper is concerned with the estimation of a small perturbing function affecting a system of second-order ODEs, in order to get a solution of it fitting a given set of measurements. The classical approach consist of perturbation modeling and least-squares parameter specification. Alternative procedures are needed when no a-priori adequate perturbation model is at disposal. A general scheme for methods needing no modeling assumption is introduced and a complete error analysis of them is obtained. Tills error characterisation allows to determine methods minimising the effect of each error source; therefore, optimal schemes under different restrictions are deduced. |
format |
Publicacion seriada Publicacion seriada |
author |
Rodríguez, Rodolfo |
author_facet |
Rodríguez, Rodolfo |
author_sort |
Rodríguez, Rodolfo |
title |
Estimation of perturbations without modeling assumptions in second-order ordinary differential equations : Notas de Matemática, 48 |
title_short |
Estimation of perturbations without modeling assumptions in second-order ordinary differential equations : Notas de Matemática, 48 |
title_full |
Estimation of perturbations without modeling assumptions in second-order ordinary differential equations : Notas de Matemática, 48 |
title_fullStr |
Estimation of perturbations without modeling assumptions in second-order ordinary differential equations : Notas de Matemática, 48 |
title_full_unstemmed |
Estimation of perturbations without modeling assumptions in second-order ordinary differential equations : Notas de Matemática, 48 |
title_sort |
estimation of perturbations without modeling assumptions in second-order ordinary differential equations : notas de matemática, 48 |
publishDate |
1988 |
url |
http://sedici.unlp.edu.ar/handle/10915/170310 |
work_keys_str_mv |
AT rodriguezrodolfo estimationofperturbationswithoutmodelingassumptionsinsecondorderordinarydifferentialequationsnotasdematematica48 |
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1825276042386866176 |