Desarrollo de una estrategia de control predictivo no lineal y estimación de entradas desconocidas con aplicaciones a procesos biomédicos

ilustraciones, diagramas

Autores:
Alzate Torres, Carlos Mauricio
Tipo de recurso:
Fecha de publicación:
2022
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/82684
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/82684
https://repositorio.unal.edu.co/
Palabra clave:
620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería
610 - Medicina y salud
Nonlinear systems
Linear systems
Sistemas no lineales
Sistemas lineales
Cáncer
Control predictivo basado en modelo
Diabetes mellitus tipo 1
Control no lineal
Estimación de entradas desconocidas
Terapia viral
Model-based predictive control
Nonlinear control
Estimation of unknown inputs
Type 1 diabetes mellitus
Viral therapy
Rights
openAccess
License
Atribución-NoComercial-SinDerivadas 4.0 Internacional
id UNACIONAL2_0f3749da04c82714cee80ee6b51afb90
oai_identifier_str oai:repositorio.unal.edu.co:unal/82684
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv Desarrollo de una estrategia de control predictivo no lineal y estimación de entradas desconocidas con aplicaciones a procesos biomédicos
dc.title.translated.eng.fl_str_mv Development of a non-linear predictive control strategy with applications oriented to biomedical systems
title Desarrollo de una estrategia de control predictivo no lineal y estimación de entradas desconocidas con aplicaciones a procesos biomédicos
spellingShingle Desarrollo de una estrategia de control predictivo no lineal y estimación de entradas desconocidas con aplicaciones a procesos biomédicos
620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería
610 - Medicina y salud
Nonlinear systems
Linear systems
Sistemas no lineales
Sistemas lineales
Cáncer
Control predictivo basado en modelo
Diabetes mellitus tipo 1
Control no lineal
Estimación de entradas desconocidas
Terapia viral
Model-based predictive control
Nonlinear control
Estimation of unknown inputs
Type 1 diabetes mellitus
Viral therapy
title_short Desarrollo de una estrategia de control predictivo no lineal y estimación de entradas desconocidas con aplicaciones a procesos biomédicos
title_full Desarrollo de una estrategia de control predictivo no lineal y estimación de entradas desconocidas con aplicaciones a procesos biomédicos
title_fullStr Desarrollo de una estrategia de control predictivo no lineal y estimación de entradas desconocidas con aplicaciones a procesos biomédicos
title_full_unstemmed Desarrollo de una estrategia de control predictivo no lineal y estimación de entradas desconocidas con aplicaciones a procesos biomédicos
title_sort Desarrollo de una estrategia de control predictivo no lineal y estimación de entradas desconocidas con aplicaciones a procesos biomédicos
dc.creator.fl_str_mv Alzate Torres, Carlos Mauricio
dc.contributor.advisor.none.fl_str_mv Rivadeneira Paz, Pablo Santiago
Villa Tamayo, María Fernanda
dc.contributor.author.none.fl_str_mv Alzate Torres, Carlos Mauricio
dc.contributor.researchgroup.spa.fl_str_mv Grupo de Investigación en Tecnologías Aplicadas Gita
dc.contributor.orcid.spa.fl_str_mv Villa Tamayo, María Fernanda [0000-0002-0839-4070]
dc.subject.ddc.spa.fl_str_mv 620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería
610 - Medicina y salud
topic 620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería
610 - Medicina y salud
Nonlinear systems
Linear systems
Sistemas no lineales
Sistemas lineales
Cáncer
Control predictivo basado en modelo
Diabetes mellitus tipo 1
Control no lineal
Estimación de entradas desconocidas
Terapia viral
Model-based predictive control
Nonlinear control
Estimation of unknown inputs
Type 1 diabetes mellitus
Viral therapy
dc.subject.lemb.eng.fl_str_mv Nonlinear systems
Linear systems
dc.subject.lemb.spa.fl_str_mv Sistemas no lineales
Sistemas lineales
Cáncer
dc.subject.proposal.spa.fl_str_mv Control predictivo basado en modelo
Diabetes mellitus tipo 1
Control no lineal
Estimación de entradas desconocidas
Terapia viral
dc.subject.proposal.eng.fl_str_mv Model-based predictive control
Nonlinear control
Estimation of unknown inputs
Type 1 diabetes mellitus
Viral therapy
description ilustraciones, diagramas
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-11-11T14:39:07Z
dc.date.available.none.fl_str_mv 2022-11-11T14:39:07Z
dc.date.issued.none.fl_str_mv 2022
dc.type.spa.fl_str_mv Trabajo de grado - Maestría
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/masterThesis
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
dc.type.content.spa.fl_str_mv Text
dc.type.redcol.spa.fl_str_mv http://purl.org/redcol/resource_type/TM
status_str acceptedVersion
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/82684
dc.identifier.instname.spa.fl_str_mv Universidad Nacional de Colombia
dc.identifier.reponame.spa.fl_str_mv Repositorio Institucional Universidad Nacional de Colombia
dc.identifier.repourl.spa.fl_str_mv https://repositorio.unal.edu.co/
url https://repositorio.unal.edu.co/handle/unal/82684
https://repositorio.unal.edu.co/
identifier_str_mv Universidad Nacional de Colombia
Repositorio Institucional Universidad Nacional de Colombia
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.indexed.spa.fl_str_mv RedCol
LaReferencia
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spelling Atribución-NoComercial-SinDerivadas 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Rivadeneira Paz, Pablo Santiago04730d3951ae0b8d3cad652e1130f609Villa Tamayo, María Fernandaf1c18ec19cef41f56d39fba098092eb3600Alzate Torres, Carlos Mauricioab7cdc98f24acc396485a2a68b1a05cfGrupo de Investigación en Tecnologías Aplicadas GitaVilla Tamayo, María Fernanda [0000-0002-0839-4070]2022-11-11T14:39:07Z2022-11-11T14:39:07Z2022https://repositorio.unal.edu.co/handle/unal/82684Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/ilustraciones, diagramasLos sistemas no lineales representan, en muchos casos, un ideal en el campo del control pues tienen la capacidad de representar con alta delidad las dinámicas presentes en sistemas propios de diversos campos; sin embargo, se presenta una di ficultad a la hora de acceder a los benefi cios y detalles brindados teniendo en cuenta la complejidad asociada a estos modelos. Ahora, para acceder a estos bene cios, una práctica común ha sido la linealización de estos sistemas. Este proceso simpli ca el diseño, pero a la vez causa pérdida de propiedades o características de los sistemas no lineales, además de implicar la limitaci on del rango de operación dependiendo de la exactitud de la aproximación. Para solucionar estos inconvenientes, la presente tesis propone esquemas de control en MPC no lineales de tal manera que se acceda a los bene cios asociados a la realización de aproximaciones en cada paso de tiempo. Estos esquemas consisten, primero, en una estructura de control MPC impulsivo con variables arti ciales y, segundo, en un MPC con garantía de eliminación de offset con el objetivo de contrarrestar variaciones paramétricas que puedan presentar los sistemas. También se propone una serie de condiciones necesarias para que se verifiquen las propiedades de convergencia y atractividad de las formulaciones planteadas. Además, se evalúa el desempeño de estos esquemas frente a planteamientos lineales al implementarlos en problemas biomédicos descritos por dinámicas no lineales impulsivas, específicamente el tratamiento de cáncer de pecho con terapias virales de adenovirus y la regulación de niveles de glucosa en sangre en pacientes de diabetes mellitus tipo 1 con terapias de insulina aplicando una variación del modelo mínimo de Bergman. Posteriormente, se propone una generalización de las condiciones necesarias para el diseño de estimadores de entrada desconocida en sistemas lineales, se evalúa su influencia y el cómo estos pueden brindar bene ficios al acoplarse a esquemas de control para brindar informacón y atenuar el efecto de perturbaciones desconocidas en el caso específi co de la estimación de carbohidratos consumidos por un paciente en el tratamiento de diabetes mellitus tipo 1, considerando dinámicas lineales. (Texto tomado de la fuente)Nonlinear systems represent, in many cases, an ideal in the field of control as they have the ability to represent with high fidelity the dynamics present in systems from various fields; however, there is difficulty in accessing the benefits and details provided, taking into account the complexity associated with these models. Now, to access these benefits, a common practice has been the linearization of these systems. This process simplifies the design, but at the same time causes loss of properties or characteristics of nonlinear systems, in addition to implying the limitation of the operating range depending on the accuracy of the approximation. To solve these drawbacks, this thesis proposes nonlinear MPC control schemes in such a way as to access the benefits associated with making approximations at each time step. These schemes consist, first, of an impulsive MPC control structure with artificial variables and, second, of an MPC with offset elimination guarantee in order to counteract parametric variations that the systems may present. A series of necessary conditions are also proposed to verify the properties of convergence and attractiveness of the proposed formulations. In addition, the performance of these schemes against linear approaches is evaluated when implemented in biomedical problems described by impulsive nonlinear dynamics, specifically the treatment of breast cancer with adenovirus viral therapies and the regulation of blood glucose levels in diabetes patients. type 1 mellitus with insulin therapies applying a variation of Bergman’s minimal model. Subsequently, a generalization of the necessary conditions for the design of unknown input estimators in linear systems is proposed, their influence is evaluated and how they can provide benefits when coupled to control schemes to provide information and attenuate the effect of unknown disturbances in linear systems. the specific case of estimating carbohydrates consumed by a patient in the treatment of type 1 diabetes mellitus, considering linear dynamics.MaestríaMagíster en Ingeniería - Automatización IndustrialIngeniería BiomédicaÁrea Curricular de Ingeniería Eléctrica e Ingeniería de Controlxvii, 127 páginasapplication/pdfspaUniversidad Nacional de Colombia - Sede MedellínMedellín - Minas - Maestría en Ingeniería - Automatización IndustrialFacultad de MinasMedellín, ColombiaUniversidad Nacional de Colombia - Sede Medellín620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingeniería610 - Medicina y saludNonlinear systemsLinear systemsSistemas no linealesSistemas linealesCáncerControl predictivo basado en modeloDiabetes mellitus tipo 1Control no linealEstimación de entradas desconocidasTerapia viralModel-based predictive controlNonlinear controlEstimation of unknown inputsType 1 diabetes mellitusViral therapyDesarrollo de una estrategia de control predictivo no lineal y estimación de entradas desconocidas con aplicaciones a procesos biomédicosDevelopment of a non-linear predictive control strategy with applications oriented to biomedical systemsTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMRedColLaReferenciaAnelone, Anet J. ; Spurgeon, Sarah K.: Prediction of the containment of HIV infection by antiretroviral therapy - A variable structure control approach. 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ISBN 9787900719706EstudiantesInvestigadoresMaestrosLICENSElicense.txtlicense.txttext/plain; charset=utf-85879https://repositorio.unal.edu.co/bitstream/unal/82684/1/license.txteb34b1cf90b7e1103fc9dfd26be24b4aMD51ORIGINAL1152218627.2022.pdf1152218627.2022.pdfTesis de Maestría en Ingeniería - Automatización Industrialapplication/pdf4629411https://repositorio.unal.edu.co/bitstream/unal/82684/3/1152218627.2022.pdf4b5e4e3fdf45489f0cb496ed48dd7107MD53THUMBNAIL1152218627.2022.pdf.jpg1152218627.2022.pdf.jpgGenerated Thumbnailimage/jpeg4902https://repositorio.unal.edu.co/bitstream/unal/82684/4/1152218627.2022.pdf.jpgf3dd51ae4aa10e5e91012e430ce64a17MD54unal/82684oai:repositorio.unal.edu.co:unal/826842023-08-10 23:04:28.79Repositorio Institucional Universidad Nacional de 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