An Error Bound for Low Order Approximation of Dynamical Systems Subjected to Initial Conditions
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512018000200197 |
Resumo: | ABSTRACT In recent years, a great effort has been taken focused on the development of reduced order modeling techniques of dynamical systems. This necessity is pushed by the requirement for efficient numerical techniques for simulations of dynamical systems arising from structural dynamics, controller design, circuit simulation, fluid dynamics and micro electromechanical systems. We introduce a method to calculate the minimum upper ℒ2 error bound of a linear time invariant reduced order model considering any possible unitary initial conditions (IC). As a consequence, the proposed method calculates the unitary IC vector which leads to the maximum ℒ2 norm of the error. Based on this error bound, it is discussed the capacity of a reduced order system to approximate the free transient response in the worst case scenario. |
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An Error Bound for Low Order Approximation of Dynamical Systems Subjected to Initial ConditionsModel reductiondynamical systemsobservability grammianinitial conditionerror boundABSTRACT In recent years, a great effort has been taken focused on the development of reduced order modeling techniques of dynamical systems. This necessity is pushed by the requirement for efficient numerical techniques for simulations of dynamical systems arising from structural dynamics, controller design, circuit simulation, fluid dynamics and micro electromechanical systems. We introduce a method to calculate the minimum upper ℒ2 error bound of a linear time invariant reduced order model considering any possible unitary initial conditions (IC). As a consequence, the proposed method calculates the unitary IC vector which leads to the maximum ℒ2 norm of the error. Based on this error bound, it is discussed the capacity of a reduced order system to approximate the free transient response in the worst case scenario.Sociedade Brasileira de Matemática Aplicada e Computacional2018-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512018000200197TEMA (São Carlos) v.19 n.2 2018reponame:TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online)instname:Sociedade Brasileira de Matemática Aplicada e Computacionalinstacron:SBMAC10.5540/tema.2018.019.02.0197info:eu-repo/semantics/openAccessMACIEL,G.P.R.BARBOSA,R.S.eng2018-09-10T00:00:00Zoai:scielo:S2179-84512018000200197Revistahttp://www.scielo.br/temaPUBhttps://old.scielo.br/oai/scielo-oai.phpcastelo@icmc.usp.br2179-84511677-1966opendoar:2018-09-10T00:00TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online) - Sociedade Brasileira de Matemática Aplicada e Computacionalfalse |
dc.title.none.fl_str_mv |
An Error Bound for Low Order Approximation of Dynamical Systems Subjected to Initial Conditions |
title |
An Error Bound for Low Order Approximation of Dynamical Systems Subjected to Initial Conditions |
spellingShingle |
An Error Bound for Low Order Approximation of Dynamical Systems Subjected to Initial Conditions MACIEL,G.P.R. Model reduction dynamical systems observability grammian initial condition error bound |
title_short |
An Error Bound for Low Order Approximation of Dynamical Systems Subjected to Initial Conditions |
title_full |
An Error Bound for Low Order Approximation of Dynamical Systems Subjected to Initial Conditions |
title_fullStr |
An Error Bound for Low Order Approximation of Dynamical Systems Subjected to Initial Conditions |
title_full_unstemmed |
An Error Bound for Low Order Approximation of Dynamical Systems Subjected to Initial Conditions |
title_sort |
An Error Bound for Low Order Approximation of Dynamical Systems Subjected to Initial Conditions |
author |
MACIEL,G.P.R. |
author_facet |
MACIEL,G.P.R. BARBOSA,R.S. |
author_role |
author |
author2 |
BARBOSA,R.S. |
author2_role |
author |
dc.contributor.author.fl_str_mv |
MACIEL,G.P.R. BARBOSA,R.S. |
dc.subject.por.fl_str_mv |
Model reduction dynamical systems observability grammian initial condition error bound |
topic |
Model reduction dynamical systems observability grammian initial condition error bound |
description |
ABSTRACT In recent years, a great effort has been taken focused on the development of reduced order modeling techniques of dynamical systems. This necessity is pushed by the requirement for efficient numerical techniques for simulations of dynamical systems arising from structural dynamics, controller design, circuit simulation, fluid dynamics and micro electromechanical systems. We introduce a method to calculate the minimum upper ℒ2 error bound of a linear time invariant reduced order model considering any possible unitary initial conditions (IC). As a consequence, the proposed method calculates the unitary IC vector which leads to the maximum ℒ2 norm of the error. Based on this error bound, it is discussed the capacity of a reduced order system to approximate the free transient response in the worst case scenario. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-08-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512018000200197 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-84512018000200197 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.5540/tema.2018.019.02.0197 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Sociedade Brasileira de Matemática Aplicada e Computacional |
publisher.none.fl_str_mv |
Sociedade Brasileira de Matemática Aplicada e Computacional |
dc.source.none.fl_str_mv |
TEMA (São Carlos) v.19 n.2 2018 reponame:TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online) instname:Sociedade Brasileira de Matemática Aplicada e Computacional instacron:SBMAC |
instname_str |
Sociedade Brasileira de Matemática Aplicada e Computacional |
instacron_str |
SBMAC |
institution |
SBMAC |
reponame_str |
TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online) |
collection |
TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online) |
repository.name.fl_str_mv |
TEMA (Sociedade Brasileira de Matemática Aplicada e Computacional. Online) - Sociedade Brasileira de Matemática Aplicada e Computacional |
repository.mail.fl_str_mv |
castelo@icmc.usp.br |
_version_ |
1752122220259311616 |