A qLPV Nonlinear Model Predictive Control with Moving Horizon Estimation

Autores
Morato, Marcelo M.; Bernardi, Emanuel; Stojanović, Vladimir
Año de publicación
2021
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper presents a Model Predictive Control (MPC) algorithm for Nonlinear systems represented through quasiLinear Parameter Varying (qLPV) embeddings. Input-to-state stability is ensured through parameter-dependent terminal ingredients, computed offline via Linear Matrix Inequalities. The online operation comprises three consecutive Quadratic Programs (QPs) and, thus, is computationally efficient and able to run in real-time for a variety of applications. These QPs stand for the control optimization (MPC) and a Moving-Horizon Estimation (MHE) scheme that predicts the behaviour of the scheduling parameters along the future horizon. The method is practical and simple to implement. Its effectiveness is assessed through a benchmark example (a CSTR system).
Fil: Morato, Marcelo M. Universidad Federal de Santa Catarina; Brasil.
Fil: Bernardi, Emanuel. Universidad Tecnológica Nacional. Facultad Regional San Francisco; Argentina.
Fil: Stojanović, Vladimir. Faculty of Mechanical and Civil Engineering. University of Kragujevac; Serbia.
Peer Reviewed
Fuente
Complex Engineering Systems;1:5 (2021)
Materia
Nonlinear Model Predictive Control
Quasi-Linear Parameter Varying Systems
Moving Horizon Estimation
Linear Matrix Inequalities
CSTR
Nivel de accesibilidad
acceso abierto
Condiciones de uso
2024-10-14T18:57:20Z
Repositorio
Repositorio Institucional Abierto (UTN)
Institución
Universidad Tecnológica Nacional
OAI Identificador
oai:ria.utn.edu.ar:20.500.12272/11625
Acceder
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network_acronym_str RIAUTN
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network_name_str Repositorio Institucional Abierto (UTN)
spelling A qLPV Nonlinear Model Predictive Control with Moving Horizon EstimationMorato, Marcelo M.Bernardi, EmanuelStojanović, VladimirNonlinear Model Predictive ControlQuasi-Linear Parameter Varying SystemsMoving Horizon EstimationLinear Matrix InequalitiesCSTRThis paper presents a Model Predictive Control (MPC) algorithm for Nonlinear systems represented through quasiLinear Parameter Varying (qLPV) embeddings. Input-to-state stability is ensured through parameter-dependent terminal ingredients, computed offline via Linear Matrix Inequalities. The online operation comprises three consecutive Quadratic Programs (QPs) and, thus, is computationally efficient and able to run in real-time for a variety of applications. These QPs stand for the control optimization (MPC) and a Moving-Horizon Estimation (MHE) scheme that predicts the behaviour of the scheduling parameters along the future horizon. The method is practical and simple to implement. Its effectiveness is assessed through a benchmark example (a CSTR system).Fil: Morato, Marcelo M. Universidad Federal de Santa Catarina; Brasil.Fil: Bernardi, Emanuel. Universidad Tecnológica Nacional. Facultad Regional San Francisco; Argentina.Fil: Stojanović, Vladimir. Faculty of Mechanical and Civil Engineering. University of Kragujevac; Serbia.Peer Reviewed2024-10-14T18:57:20Z2024-10-14T18:57:20Z2021-10-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articulopdfapplication/pdfComplex Engineering Systems2770-6249http://hdl.handle.net/20.500.12272/1162510.20517/ces.2021.09Complex Engineering Systems;1:5 (2021)reponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica NacionalengengInternacionalinfo:eu-repo/semantics/openAccess2024-10-14T18:57:20Zhttp://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 Internacional.2026-09-24T12:47:44Zoai:ria.utn.edu.ar:20.500.12272/11625instacron:UTNInstitucionalhttp://ria.utn.edu.ar/Universidad públicaNo correspondehttp://ria.utn.edu.ar/oaigestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2026-09-24 12:47:45.829Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse
dc.title.none.fl_str_mv A qLPV Nonlinear Model Predictive Control with Moving Horizon Estimation
title A qLPV Nonlinear Model Predictive Control with Moving Horizon Estimation
spellingShingle A qLPV Nonlinear Model Predictive Control with Moving Horizon Estimation
Morato, Marcelo M.
Nonlinear Model Predictive Control
Quasi-Linear Parameter Varying Systems
Moving Horizon Estimation
Linear Matrix Inequalities
CSTR
title_short A qLPV Nonlinear Model Predictive Control with Moving Horizon Estimation
title_full A qLPV Nonlinear Model Predictive Control with Moving Horizon Estimation
title_fullStr A qLPV Nonlinear Model Predictive Control with Moving Horizon Estimation
title_full_unstemmed A qLPV Nonlinear Model Predictive Control with Moving Horizon Estimation
title_sort A qLPV Nonlinear Model Predictive Control with Moving Horizon Estimation
dc.creator.none.fl_str_mv Morato, Marcelo M.
Bernardi, Emanuel
Stojanović, Vladimir
author Morato, Marcelo M.
author_facet Morato, Marcelo M.
Bernardi, Emanuel
Stojanović, Vladimir
author_role author
author2 Bernardi, Emanuel
Stojanović, Vladimir
author2_role author
author
dc.subject.none.fl_str_mv Nonlinear Model Predictive Control
Quasi-Linear Parameter Varying Systems
Moving Horizon Estimation
Linear Matrix Inequalities
CSTR
topic Nonlinear Model Predictive Control
Quasi-Linear Parameter Varying Systems
Moving Horizon Estimation
Linear Matrix Inequalities
CSTR
dc.description.none.fl_txt_mv This paper presents a Model Predictive Control (MPC) algorithm for Nonlinear systems represented through quasiLinear Parameter Varying (qLPV) embeddings. Input-to-state stability is ensured through parameter-dependent terminal ingredients, computed offline via Linear Matrix Inequalities. The online operation comprises three consecutive Quadratic Programs (QPs) and, thus, is computationally efficient and able to run in real-time for a variety of applications. These QPs stand for the control optimization (MPC) and a Moving-Horizon Estimation (MHE) scheme that predicts the behaviour of the scheduling parameters along the future horizon. The method is practical and simple to implement. Its effectiveness is assessed through a benchmark example (a CSTR system).
Fil: Morato, Marcelo M. Universidad Federal de Santa Catarina; Brasil.
Fil: Bernardi, Emanuel. Universidad Tecnológica Nacional. Facultad Regional San Francisco; Argentina.
Fil: Stojanović, Vladimir. Faculty of Mechanical and Civil Engineering. University of Kragujevac; Serbia.
Peer Reviewed
description This paper presents a Model Predictive Control (MPC) algorithm for Nonlinear systems represented through quasiLinear Parameter Varying (qLPV) embeddings. Input-to-state stability is ensured through parameter-dependent terminal ingredients, computed offline via Linear Matrix Inequalities. The online operation comprises three consecutive Quadratic Programs (QPs) and, thus, is computationally efficient and able to run in real-time for a variety of applications. These QPs stand for the control optimization (MPC) and a Moving-Horizon Estimation (MHE) scheme that predicts the behaviour of the scheduling parameters along the future horizon. The method is practical and simple to implement. Its effectiveness is assessed through a benchmark example (a CSTR system).
publishDate 2021
dc.date.none.fl_str_mv 2021-10-15
2024-10-14T18:57:20Z
2024-10-14T18:57:20Z
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 Complex Engineering Systems
2770-6249
http://hdl.handle.net/20.500.12272/11625
10.20517/ces.2021.09
identifier_str_mv Complex Engineering Systems
2770-6249
10.20517/ces.2021.09
url http://hdl.handle.net/20.500.12272/11625
dc.language.none.fl_str_mv eng
eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
2024-10-14T18:57:20Z
http://creativecommons.org/licenses/by-nc-nd/4.0/
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
.
eu_rights_str_mv openAccess
rights_invalid_str_mv 2024-10-14T18:57:20Z
http://creativecommons.org/licenses/by-nc-nd/4.0/
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
.
dc.format.none.fl_str_mv pdf
application/pdf
dc.coverage.none.fl_str_mv Internacional
dc.source.none.fl_str_mv Complex Engineering Systems;1:5 (2021)
reponame:Repositorio Institucional Abierto (UTN)
instname:Universidad Tecnológica Nacional
reponame_str Repositorio Institucional Abierto (UTN)
collection Repositorio Institucional Abierto (UTN)
instname_str Universidad Tecnológica Nacional
repository.name.fl_str_mv Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacional
repository.mail.fl_str_mv gestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.ar
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score 13.265058

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