A Stand–Alone Quantized State System Solver for Continuous System Simulation

This article introduces a stand-alone implementation of the quantized state system (QSS) integration methods for continuous and hybrid system simulation. QSS methods replace the time discretization of classic numerical integration by the quantization of the state variables. These algorithms lead to...

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Detalles Bibliográficos
Autores: Kofman, Ernesto Javier, Fernandez, Joaquin
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2014
País:Argentina
Institución:Consejo Nacional de Investigaciones Científicas y Técnicas
Repositorio:CONICET Digital (CONICET)
Idioma:inglés
OAI Identifier:oai:ri.conicet.gov.ar:11336/4810
Acceso en línea:http://hdl.handle.net/11336/4810
Access Level:acceso abierto
Palabra clave:ODE Solvers
Discontinuity Handling
Quantized State Systems Methods
https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/1.2
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spelling A Stand–Alone Quantized State System Solver for Continuous System SimulationKofman, Ernesto JavierFernandez, JoaquinODE SolversDiscontinuity HandlingQuantized State Systems Methodshttps://purl.org/becyt/ford/1.1https://purl.org/becyt/ford/1https://purl.org/becyt/ford/1.2https://purl.org/becyt/ford/1This article introduces a stand-alone implementation of the quantized state system (QSS) integration methods for continuous and hybrid system simulation. QSS methods replace the time discretization of classic numerical integration by the quantization of the state variables. These algorithms lead to discrete event approximations of the original continuous systems and show some advantages over classic numerical integration schemes. For simplicity, most implementations of QSS methods were confined to discrete event simulation engines. The problem is that they were not fully efficient, as they wasted much of the computational load in the discrete event simulation mechanism. The stand-alone QSS solver presented here overcomes this problem, improving in more than one order of magnitude the computation times of the previous discrete event implementations. Besides describing the solver structure and functionality, the article analyzes four different models and compares the performance of the new solver with that of the discrete event implementation, and with that of different classic solvers.Fil: Kofman, Ernesto Javier. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; ArgentinaFil: Fernandez, Joaquin. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Rosario. Centro Internacional Franco Argentino de Ciencias de la Información y Sistemas; ArgentinaSage Publications Ltd2014-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/4810Kofman, Ernesto Javier; Fernandez, Joaquin; A Stand–Alone Quantized State System Solver for Continuous System Simulation; Sage Publications Ltd; Simulation; 90; 7; 7-2014; 782-7990037-5497enginfo:eu-repo/semantics/altIdentifier/purl/http://sim.sagepub.com/content/90/7/782info:eu-repo/semantics/altIdentifier/doi/10.1177/0037549714536255info:eu-repo/semantics/altIdentifier/issn/0037-5497info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2024-05-08T14:05:17Zoai:ri.conicet.gov.ar:11336/4810instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982024-05-08 14:05:17.342CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A Stand–Alone Quantized State System Solver for Continuous System Simulation
title A Stand–Alone Quantized State System Solver for Continuous System Simulation
spellingShingle A Stand–Alone Quantized State System Solver for Continuous System Simulation
Kofman, Ernesto Javier
ODE Solvers
Discontinuity Handling
Quantized State Systems Methods
https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
title_short A Stand–Alone Quantized State System Solver for Continuous System Simulation
title_full A Stand–Alone Quantized State System Solver for Continuous System Simulation
title_fullStr A Stand–Alone Quantized State System Solver for Continuous System Simulation
title_full_unstemmed A Stand–Alone Quantized State System Solver for Continuous System Simulation
title_sort A Stand–Alone Quantized State System Solver for Continuous System Simulation
dc.creator.none.fl_str_mv Kofman, Ernesto Javier
Fernandez, Joaquin
author Kofman, Ernesto Javier
author_facet Kofman, Ernesto Javier
Fernandez, Joaquin
author_role author
author2 Fernandez, Joaquin
author2_role author
dc.subject.none.fl_str_mv ODE Solvers
Discontinuity Handling
Quantized State Systems Methods
https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
topic ODE Solvers
Discontinuity Handling
Quantized State Systems Methods
https://purl.org/becyt/ford/1.1
https://purl.org/becyt/ford/1
https://purl.org/becyt/ford/1.2
https://purl.org/becyt/ford/1
description This article introduces a stand-alone implementation of the quantized state system (QSS) integration methods for continuous and hybrid system simulation. QSS methods replace the time discretization of classic numerical integration by the quantization of the state variables. These algorithms lead to discrete event approximations of the original continuous systems and show some advantages over classic numerical integration schemes. For simplicity, most implementations of QSS methods were confined to discrete event simulation engines. The problem is that they were not fully efficient, as they wasted much of the computational load in the discrete event simulation mechanism. The stand-alone QSS solver presented here overcomes this problem, improving in more than one order of magnitude the computation times of the previous discrete event implementations. Besides describing the solver structure and functionality, the article analyzes four different models and compares the performance of the new solver with that of the discrete event implementation, and with that of different classic solvers.
publishDate 2014
dc.date.none.fl_str_mv 2014-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/4810
Kofman, Ernesto Javier; Fernandez, Joaquin; A Stand–Alone Quantized State System Solver for Continuous System Simulation; Sage Publications Ltd; Simulation; 90; 7; 7-2014; 782-799
0037-5497
url http://hdl.handle.net/11336/4810
identifier_str_mv Kofman, Ernesto Javier; Fernandez, Joaquin; A Stand–Alone Quantized State System Solver for Continuous System Simulation; Sage Publications Ltd; Simulation; 90; 7; 7-2014; 782-799
0037-5497
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/purl/http://sim.sagepub.com/content/90/7/782
info:eu-repo/semantics/altIdentifier/doi/10.1177/0037549714536255
info:eu-repo/semantics/altIdentifier/issn/0037-5497
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Sage Publications Ltd
publisher.none.fl_str_mv Sage Publications Ltd
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 15.812429

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