On the adequacy of Adams-Bashforth sampled-data models for characterizing complex underwater-vehicle dynamics with noisy measurements

Autores
Jordán, Mario A.; Bustamante, Jorge L.; Berger, Carlos E.
Año de publicación
2014
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
In this paper the adequacy of high order interpolation-based approaches to describe highly perturbed complex dynamics in discrete time was analyzed. The analysis establishes features of the approaches related to modularity, consistency with the model order and the sampling times, and accuracy in disturbed contexts with noisy measurements. A detailed study of the sensitivity of local prediction errors under a high signal-to-noise ratio is carried out with analytical expressions in dependence of physical coefficients of the vehicle. The different interpolation-based approaches were illustrated with simulations using from an AUV-like (Autonomous Underwater Vehicle) system with a few degrees of freedom (DoF), to a ROV (Remotely Operated Vehicle) model of 6 DoF with complex navigation paths.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
Materia
Ciencias Informáticas
sampled-data models
Adams-Bashforth approximations
underwater vehicles
nonlinear dynamics
local errors
disturbances
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nd/3.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/41766
Acceder
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network_name_str SEDICI (UNLP)
spelling On the adequacy of Adams-Bashforth sampled-data models for characterizing complex underwater-vehicle dynamics with noisy measurementsJordán, Mario A.Bustamante, Jorge L.Berger, Carlos E.Ciencias Informáticassampled-data modelsAdams-Bashforth approximationsunderwater vehiclesnonlinear dynamicslocal errorsdisturbancesIn this paper the adequacy of high order interpolation-based approaches to describe highly perturbed complex dynamics in discrete time was analyzed. The analysis establishes features of the approaches related to modularity, consistency with the model order and the sampling times, and accuracy in disturbed contexts with noisy measurements. A detailed study of the sensitivity of local prediction errors under a high signal-to-noise ratio is carried out with analytical expressions in dependence of physical coefficients of the vehicle. The different interpolation-based approaches were illustrated with simulations using from an AUV-like (Autonomous Underwater Vehicle) system with a few degrees of freedom (DoF), to a ROV (Remotely Operated Vehicle) model of 6 DoF with complex navigation paths.Sociedad Argentina de Informática e Investigación Operativa (SADIO)2014-09info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf60-71http://sedici.unlp.edu.ar/handle/10915/41766enginfo:eu-repo/semantics/altIdentifier/url/http://43jaiio.sadio.org.ar/proceedings/AST/Paper6_AST_Jordan.pdfinfo:eu-repo/semantics/altIdentifier/issn/1850-2806info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nd/3.0/Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-10T12:04:34Zoai:sedici.unlp.edu.ar:10915/41766Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-10 12:04:34.27SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv On the adequacy of Adams-Bashforth sampled-data models for characterizing complex underwater-vehicle dynamics with noisy measurements
title On the adequacy of Adams-Bashforth sampled-data models for characterizing complex underwater-vehicle dynamics with noisy measurements
spellingShingle On the adequacy of Adams-Bashforth sampled-data models for characterizing complex underwater-vehicle dynamics with noisy measurements
Jordán, Mario A.
Ciencias Informáticas
sampled-data models
Adams-Bashforth approximations
underwater vehicles
nonlinear dynamics
local errors
disturbances
title_short On the adequacy of Adams-Bashforth sampled-data models for characterizing complex underwater-vehicle dynamics with noisy measurements
title_full On the adequacy of Adams-Bashforth sampled-data models for characterizing complex underwater-vehicle dynamics with noisy measurements
title_fullStr On the adequacy of Adams-Bashforth sampled-data models for characterizing complex underwater-vehicle dynamics with noisy measurements
title_full_unstemmed On the adequacy of Adams-Bashforth sampled-data models for characterizing complex underwater-vehicle dynamics with noisy measurements
title_sort On the adequacy of Adams-Bashforth sampled-data models for characterizing complex underwater-vehicle dynamics with noisy measurements
dc.creator.none.fl_str_mv Jordán, Mario A.
Bustamante, Jorge L.
Berger, Carlos E.
author Jordán, Mario A.
author_facet Jordán, Mario A.
Bustamante, Jorge L.
Berger, Carlos E.
author_role author
author2 Bustamante, Jorge L.
Berger, Carlos E.
author2_role author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
sampled-data models
Adams-Bashforth approximations
underwater vehicles
nonlinear dynamics
local errors
disturbances
topic Ciencias Informáticas
sampled-data models
Adams-Bashforth approximations
underwater vehicles
nonlinear dynamics
local errors
disturbances
dc.description.none.fl_txt_mv In this paper the adequacy of high order interpolation-based approaches to describe highly perturbed complex dynamics in discrete time was analyzed. The analysis establishes features of the approaches related to modularity, consistency with the model order and the sampling times, and accuracy in disturbed contexts with noisy measurements. A detailed study of the sensitivity of local prediction errors under a high signal-to-noise ratio is carried out with analytical expressions in dependence of physical coefficients of the vehicle. The different interpolation-based approaches were illustrated with simulations using from an AUV-like (Autonomous Underwater Vehicle) system with a few degrees of freedom (DoF), to a ROV (Remotely Operated Vehicle) model of 6 DoF with complex navigation paths.
Sociedad Argentina de Informática e Investigación Operativa (SADIO)
description In this paper the adequacy of high order interpolation-based approaches to describe highly perturbed complex dynamics in discrete time was analyzed. The analysis establishes features of the approaches related to modularity, consistency with the model order and the sampling times, and accuracy in disturbed contexts with noisy measurements. A detailed study of the sensitivity of local prediction errors under a high signal-to-noise ratio is carried out with analytical expressions in dependence of physical coefficients of the vehicle. The different interpolation-based approaches were illustrated with simulations using from an AUV-like (Autonomous Underwater Vehicle) system with a few degrees of freedom (DoF), to a ROV (Remotely Operated Vehicle) model of 6 DoF with complex navigation paths.
publishDate 2014
dc.date.none.fl_str_mv 2014-09
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/41766
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dc.language.none.fl_str_mv eng
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info:eu-repo/semantics/altIdentifier/issn/1850-2806
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nd/3.0/
Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nd/3.0/
Creative Commons Attribution-NoDerivs 3.0 Unported (CC BY-ND 3.0)
dc.format.none.fl_str_mv application/pdf
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instname_str Universidad Nacional de La Plata
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repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
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