A Python package for the Virtual Reference Feedback Tuning, a direct data-driven control method

Detalhes bibliográficos
Autor(a) principal: Boeira, Emerson Christ
Data de Publicação: 2020
Outros Autores: Eckhard, Diego
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFRGS
Texto Completo: http://hdl.handle.net/10183/219173
Resumo: In this paper, thepyvrft, a Python package for the data-driven control method known as Virtual Reference Feedback Tuning (VRFT), is presented. Virtual Reference Feedback Tuning is a control designtechnique that does not use a mathematical model from the process to be controlled. Instead, it uses input and output data from an experiment to compute the controller’s parameters, aiming to minimizean H2 Model Reference criterion. The package implements an unbiased estimate of the controller for MIMO (Multiple-Input Multiple-Output) processes using both least-squares and instrumental variabletechniques. The package also provides accessory functions to import data and to perform MIMO systems simulations, together with some examples.
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spelling Boeira, Emerson ChristEckhard, Diego2021-03-20T04:35:23Z20202352-7110http://hdl.handle.net/10183/219173001114352In this paper, thepyvrft, a Python package for the data-driven control method known as Virtual Reference Feedback Tuning (VRFT), is presented. Virtual Reference Feedback Tuning is a control designtechnique that does not use a mathematical model from the process to be controlled. Instead, it uses input and output data from an experiment to compute the controller’s parameters, aiming to minimizean H2 Model Reference criterion. The package implements an unbiased estimate of the controller for MIMO (Multiple-Input Multiple-Output) processes using both least-squares and instrumental variabletechniques. The package also provides accessory functions to import data and to perform MIMO systems simulations, together with some examples.application/pdfengSoftwareX. Holanda: Elsevier, 2020. Vol. 11, (Jan/Jun. 2020), p. 1-6Sistemas de controleControl systemsData-drivencontrolVRFTPythonA Python package for the Virtual Reference Feedback Tuning, a direct data-driven control methodEstrangeiroinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRGSinstname:Universidade Federal do Rio Grande do Sul (UFRGS)instacron:UFRGSTEXT001114352.pdf.txt001114352.pdf.txtExtracted Texttext/plain31439http://www.lume.ufrgs.br/bitstream/10183/219173/2/001114352.pdf.txte0427b291487c3e7dd8d510b9c84a203MD52ORIGINAL001114352.pdfTexto completo (inglês)application/pdf510550http://www.lume.ufrgs.br/bitstream/10183/219173/1/001114352.pdf5135f7499bc8a1e12c0b99e6a9df9bb6MD5110183/2191732021-05-07 04:45:28.023172oai:www.lume.ufrgs.br:10183/219173Repositório de PublicaçõesPUBhttps://lume.ufrgs.br/oai/requestopendoar:2021-05-07T07:45:28Repositório Institucional da UFRGS - Universidade Federal do Rio Grande do Sul (UFRGS)false
dc.title.pt_BR.fl_str_mv A Python package for the Virtual Reference Feedback Tuning, a direct data-driven control method
title A Python package for the Virtual Reference Feedback Tuning, a direct data-driven control method
spellingShingle A Python package for the Virtual Reference Feedback Tuning, a direct data-driven control method
Boeira, Emerson Christ
Sistemas de controle
Control systems
Data-driven
controlVRFT
Python
title_short A Python package for the Virtual Reference Feedback Tuning, a direct data-driven control method
title_full A Python package for the Virtual Reference Feedback Tuning, a direct data-driven control method
title_fullStr A Python package for the Virtual Reference Feedback Tuning, a direct data-driven control method
title_full_unstemmed A Python package for the Virtual Reference Feedback Tuning, a direct data-driven control method
title_sort A Python package for the Virtual Reference Feedback Tuning, a direct data-driven control method
author Boeira, Emerson Christ
author_facet Boeira, Emerson Christ
Eckhard, Diego
author_role author
author2 Eckhard, Diego
author2_role author
dc.contributor.author.fl_str_mv Boeira, Emerson Christ
Eckhard, Diego
dc.subject.por.fl_str_mv Sistemas de controle
topic Sistemas de controle
Control systems
Data-driven
controlVRFT
Python
dc.subject.eng.fl_str_mv Control systems
Data-driven
controlVRFT
Python
description In this paper, thepyvrft, a Python package for the data-driven control method known as Virtual Reference Feedback Tuning (VRFT), is presented. Virtual Reference Feedback Tuning is a control designtechnique that does not use a mathematical model from the process to be controlled. Instead, it uses input and output data from an experiment to compute the controller’s parameters, aiming to minimizean H2 Model Reference criterion. The package implements an unbiased estimate of the controller for MIMO (Multiple-Input Multiple-Output) processes using both least-squares and instrumental variabletechniques. The package also provides accessory functions to import data and to perform MIMO systems simulations, together with some examples.
publishDate 2020
dc.date.issued.fl_str_mv 2020
dc.date.accessioned.fl_str_mv 2021-03-20T04:35:23Z
dc.type.driver.fl_str_mv Estrangeiro
info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10183/219173
dc.identifier.issn.pt_BR.fl_str_mv 2352-7110
dc.identifier.nrb.pt_BR.fl_str_mv 001114352
identifier_str_mv 2352-7110
001114352
url http://hdl.handle.net/10183/219173
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.pt_BR.fl_str_mv SoftwareX. Holanda: Elsevier, 2020. Vol. 11, (Jan/Jun. 2020), p. 1-6
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
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instacron:UFRGS
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instacron_str UFRGS
institution UFRGS
reponame_str Repositório Institucional da UFRGS
collection Repositório Institucional da UFRGS
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