Artificial pancreas under stable pulsatile MPC: Improving the closed-loop performance

Autores
Abuin, Pablo; Rivadeneira, Pablo; Ferramosca, Antonio; González, Alejandro
Año de publicación
2020
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This work presents a pulsatile Zone Model Predictive Control (pZMPC) for the control of blood glucose concentration (BGC) in patients with Type 1 Diabetes Mellitus (T1DM). The main novelties of the algorithm – in contrast to other existing strategies – are: (i) it controls the patient glycemia by injecting short duration insulin boluses for both, the basal and bolus infusions, in an unified manner, (ii) it performs the predictions and estimations (critical to anticipate both, hypo and hyperglycemia) based on a physiological individualized long-term model, (iii) it employs disturbance observers to compensate plant-model mismatches, (iv) it ensures, under standard assumptions, closed-loop stability, and (v) it can be used – under minor modifications – as an optimal basal–bolus calculator to emulate conventional therapies. Because of the latter characteristic, a significantly better performance is achieved, not only in terms of classical indexes (time in the normoglycemia zone, avoidance of hypoglycemia in the short term, avoidance of hyperglycemia in the long term) but also in terms of its applicability (use of the pump or injections). Such a performance is tested in a cohort of in-silico patients from the FDA-accepted UVA/Padova simulation platform, considering the most challenging scenarios.
Fil: Abuin, Pablo. Institute of Technological Development for the Chemical Industry (INTEC), CONICET-Universidad Nacional del Litoral, Güemes 3450, (3000), Santa Fe, Argentina.
Fil: P.S. Rivadeneira. Universidad Nacional de Colombia, Facultad de Minas, Cra. 80#65-224, Medellín, Colombia
Fil: A. Ferramosca. CONICET, UTN - Facultad Regional de Reconquista, 27 de Abril 1000 (3560), Reconquista, Argentina.
Fil: A.H. González. Institute of Technological Development for the Chemical Industry (INTEC), CONICET-Universidad Nacional del Litoral, Güemes 3450, (3000), Santa Fe, Argentina.
Peer Reviewed
Materia
Pulsatile controlHybrid controlModel predictive controlArtificial pancreasInsulin functional therapyStability
Nivel de accesibilidad
acceso abierto
Condiciones de uso
2021-03-11T21:52:10Z
Repositorio
Repositorio Institucional Abierto (UTN)
Institución
Universidad Tecnológica Nacional
OAI Identificador
oai:ria.utn.edu.ar:20.500.12272/4874
Acceder
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network_name_str Repositorio Institucional Abierto (UTN)
spelling Artificial pancreas under stable pulsatile MPC: Improving the closed-loop performanceAbuin, PabloRivadeneira, PabloFerramosca, AntonioGonzález, AlejandroPulsatile controlHybrid controlModel predictive controlArtificial pancreasInsulin functional therapyStabilityThis work presents a pulsatile Zone Model Predictive Control (pZMPC) for the control of blood glucose concentration (BGC) in patients with Type 1 Diabetes Mellitus (T1DM). The main novelties of the algorithm – in contrast to other existing strategies – are: (i) it controls the patient glycemia by injecting short duration insulin boluses for both, the basal and bolus infusions, in an unified manner, (ii) it performs the predictions and estimations (critical to anticipate both, hypo and hyperglycemia) based on a physiological individualized long-term model, (iii) it employs disturbance observers to compensate plant-model mismatches, (iv) it ensures, under standard assumptions, closed-loop stability, and (v) it can be used – under minor modifications – as an optimal basal–bolus calculator to emulate conventional therapies. Because of the latter characteristic, a significantly better performance is achieved, not only in terms of classical indexes (time in the normoglycemia zone, avoidance of hypoglycemia in the short term, avoidance of hyperglycemia in the long term) but also in terms of its applicability (use of the pump or injections). Such a performance is tested in a cohort of in-silico patients from the FDA-accepted UVA/Padova simulation platform, considering the most challenging scenarios.Fil: Abuin, Pablo. Institute of Technological Development for the Chemical Industry (INTEC), CONICET-Universidad Nacional del Litoral, Güemes 3450, (3000), Santa Fe, Argentina.Fil: P.S. Rivadeneira. Universidad Nacional de Colombia, Facultad de Minas, Cra. 80#65-224, Medellín, ColombiaFil: A. Ferramosca. CONICET, UTN - Facultad Regional de Reconquista, 27 de Abril 1000 (3560), Reconquista, Argentina.Fil: A.H. González. Institute of Technological Development for the Chemical Industry (INTEC), CONICET-Universidad Nacional del Litoral, Güemes 3450, (3000), Santa Fe, Argentina.Peer Reviewed2021-03-11T21:52:10Z2021-03-11T21:52:10Z2020-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articulotext/htmlapplication/pdfhttp://hdl.handle.net/20.500.12272/4874https://doi.org/10.1016/j.jprocont.2020.06.009enginfo:eu-repo/semantics/openAccess2021-03-11T21:52:10ZN/Areponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacional2026-09-24T12:48:36Zoai:ria.utn.edu.ar:20.500.12272/4874instacron: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 12:48:37.475Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse
dc.title.none.fl_str_mv Artificial pancreas under stable pulsatile MPC: Improving the closed-loop performance
title Artificial pancreas under stable pulsatile MPC: Improving the closed-loop performance
spellingShingle Artificial pancreas under stable pulsatile MPC: Improving the closed-loop performance
Abuin, Pablo
Pulsatile controlHybrid controlModel predictive controlArtificial pancreasInsulin functional therapyStability
title_short Artificial pancreas under stable pulsatile MPC: Improving the closed-loop performance
title_full Artificial pancreas under stable pulsatile MPC: Improving the closed-loop performance
title_fullStr Artificial pancreas under stable pulsatile MPC: Improving the closed-loop performance
title_full_unstemmed Artificial pancreas under stable pulsatile MPC: Improving the closed-loop performance
title_sort Artificial pancreas under stable pulsatile MPC: Improving the closed-loop performance
dc.creator.none.fl_str_mv Abuin, Pablo
Rivadeneira, Pablo
Ferramosca, Antonio
González, Alejandro
author Abuin, Pablo
author_facet Abuin, Pablo
Rivadeneira, Pablo
Ferramosca, Antonio
González, Alejandro
author_role author
author2 Rivadeneira, Pablo
Ferramosca, Antonio
González, Alejandro
author2_role author
author
author
dc.subject.none.fl_str_mv Pulsatile controlHybrid controlModel predictive controlArtificial pancreasInsulin functional therapyStability
topic Pulsatile controlHybrid controlModel predictive controlArtificial pancreasInsulin functional therapyStability
dc.description.none.fl_txt_mv This work presents a pulsatile Zone Model Predictive Control (pZMPC) for the control of blood glucose concentration (BGC) in patients with Type 1 Diabetes Mellitus (T1DM). The main novelties of the algorithm – in contrast to other existing strategies – are: (i) it controls the patient glycemia by injecting short duration insulin boluses for both, the basal and bolus infusions, in an unified manner, (ii) it performs the predictions and estimations (critical to anticipate both, hypo and hyperglycemia) based on a physiological individualized long-term model, (iii) it employs disturbance observers to compensate plant-model mismatches, (iv) it ensures, under standard assumptions, closed-loop stability, and (v) it can be used – under minor modifications – as an optimal basal–bolus calculator to emulate conventional therapies. Because of the latter characteristic, a significantly better performance is achieved, not only in terms of classical indexes (time in the normoglycemia zone, avoidance of hypoglycemia in the short term, avoidance of hyperglycemia in the long term) but also in terms of its applicability (use of the pump or injections). Such a performance is tested in a cohort of in-silico patients from the FDA-accepted UVA/Padova simulation platform, considering the most challenging scenarios.
Fil: Abuin, Pablo. Institute of Technological Development for the Chemical Industry (INTEC), CONICET-Universidad Nacional del Litoral, Güemes 3450, (3000), Santa Fe, Argentina.
Fil: P.S. Rivadeneira. Universidad Nacional de Colombia, Facultad de Minas, Cra. 80#65-224, Medellín, Colombia
Fil: A. Ferramosca. CONICET, UTN - Facultad Regional de Reconquista, 27 de Abril 1000 (3560), Reconquista, Argentina.
Fil: A.H. González. Institute of Technological Development for the Chemical Industry (INTEC), CONICET-Universidad Nacional del Litoral, Güemes 3450, (3000), Santa Fe, Argentina.
Peer Reviewed
description This work presents a pulsatile Zone Model Predictive Control (pZMPC) for the control of blood glucose concentration (BGC) in patients with Type 1 Diabetes Mellitus (T1DM). The main novelties of the algorithm – in contrast to other existing strategies – are: (i) it controls the patient glycemia by injecting short duration insulin boluses for both, the basal and bolus infusions, in an unified manner, (ii) it performs the predictions and estimations (critical to anticipate both, hypo and hyperglycemia) based on a physiological individualized long-term model, (iii) it employs disturbance observers to compensate plant-model mismatches, (iv) it ensures, under standard assumptions, closed-loop stability, and (v) it can be used – under minor modifications – as an optimal basal–bolus calculator to emulate conventional therapies. Because of the latter characteristic, a significantly better performance is achieved, not only in terms of classical indexes (time in the normoglycemia zone, avoidance of hypoglycemia in the short term, avoidance of hyperglycemia in the long term) but also in terms of its applicability (use of the pump or injections). Such a performance is tested in a cohort of in-silico patients from the FDA-accepted UVA/Padova simulation platform, considering the most challenging scenarios.
publishDate 2020
dc.date.none.fl_str_mv 2020-08-01
2021-03-11T21:52:10Z
2021-03-11T21:52:10Z
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/20.500.12272/4874
https://doi.org/10.1016/j.jprocont.2020.06.009
url http://hdl.handle.net/20.500.12272/4874
https://doi.org/10.1016/j.jprocont.2020.06.009
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
2021-03-11T21:52:10Z
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eu_rights_str_mv openAccess
rights_invalid_str_mv 2021-03-11T21:52:10Z
N/A
dc.format.none.fl_str_mv text/html
application/pdf
dc.source.none.fl_str_mv 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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