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

dc.contributor.advisorRivadeneira Paz, Pablo Santiago
dc.contributor.advisorVilla Tamayo, María Fernanda
dc.contributor.authorAlzate Torres, Carlos Mauricio
dc.contributor.orcidVilla Tamayo, María Fernanda [0000-0002-0839-4070]spa
dc.contributor.researchgroupGrupo de Investigación en Tecnologías Aplicadas Gitaspa
dc.date.accessioned2022-11-11T14:39:07Z
dc.date.available2022-11-11T14:39:07Z
dc.date.issued2022
dc.descriptionilustraciones, diagramasspa
dc.description.abstractLos 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)spa
dc.description.abstractNonlinear 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.eng
dc.description.curricularareaÁrea Curricular de Ingeniería Eléctrica e Ingeniería de Controlspa
dc.description.degreelevelMaestríaspa
dc.description.degreenameMagíster en Ingeniería - Automatización Industrialspa
dc.description.researchareaIngeniería Biomédicaspa
dc.format.extentxvii, 127 páginasspa
dc.format.mimetypeapplication/pdfspa
dc.identifier.instnameUniversidad Nacional de Colombiaspa
dc.identifier.reponameRepositorio Institucional Universidad Nacional de Colombiaspa
dc.identifier.repourlhttps://repositorio.unal.edu.co/spa
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/82684
dc.language.isospaspa
dc.publisherUniversidad Nacional de Colombia - Sede Medellínspa
dc.publisher.branchUniversidad Nacional de Colombia - Sede Medellínspa
dc.publisher.facultyFacultad de Minasspa
dc.publisher.placeMedellín, Colombiaspa
dc.publisher.programMedellín - Minas - Maestría en Ingeniería - Automatización Industrialspa
dc.relation.indexedRedColspa
dc.relation.indexedLaReferenciaspa
dc.relation.referencesAnelone, Anet J. ; Spurgeon, Sarah K.: Prediction of the containment of HIV infection by antiretroviral therapy - A variable structure control approach. En: IET Systems Biology 11 (2017), Nr. 1, p. 44{53. { ISSN 17518849spa
dc.relation.referencesAnelone, Anet J. ; Villa-Tamayo, Mar a F. ; Rivadeneira, Pablo S.: Oncolytic virus therapy bene ts from control theory: Oncolytic virus enhanced therapy. En: Royal Society Open Science 7 (2020), Nr. 7. { ISBN 0000000183spa
dc.relation.referencesAtlas, Eran ; Nimri, Revital ; Miller, Shahar ; Grunberg, Eli A. ; Phillip, Moshe: MD-logic arti cial pancreas system: A pilot study in adults with type 1 diabetes. En: Diabetes Care 33 (2010), Nr. 5, p. 1072{1076. { ISSN 01495992spa
dc.relation.referencesBatmani, Yazdan: Blood glucose concentration control for type 1 diabetic patients: a non-linear suboptimal approach. En: IET Systems Biology 11 (2017), Nr. 4, p. 119{125. { ISSN 17518849spa
dc.relation.referencesBergman, R. N. ; Phillips, L. S. ; Cobelli, C.: Physiologic evaluation of factors controlling glucose tolerance in man. Measurement of insulin sensitivity and cell glucose sensitivity from the response to intravenous glucose. En: Journal of Clinical Investigation 68 (1981), Nr. 6, p. 1456{1467. { ISSN 00219738spa
dc.relation.referencesBock, Alain ; Franc ois, Gr egory ; Gillet, Denis: A therapy parameter-based model for predicting blood glucose concentrations in patients with type 1 diabetes. En: Computer Methods and Programs in Biomedicine 118 (2015), feb, Nr. 2, p. 107{123. { ISSN 0169{2607spa
dc.relation.referencesChernikova, Oksana S.: An Adaptive Unscented Kalman Filter Approach for State Estimation of Nonlinear Continuous-Discrete System. En: 2018 14th International Scienti c-Technical Conference on Actual Problems of Electronic Instrument Enginee- ring, APEIE 2018 - Proceedings (2018), p. 37{40. ISBN 9781538670545spa
dc.relation.referencesChoi, Yoonhyuk ; Mok, Sunghoon ; Bang, Hyochoong: Impulsive formation control using orbital energy and angular momentum vector. En: Acta Astronautica 67 (2010), Nr. 5-6, p. 613{622. { ISSN 00945765spa
dc.relation.referencesCobelli, Claudio ; Man, Chiara D. ; Toffolo, Gianna ; Basu, Rita ; Vella, Adrian ; Rizza, Robert: The oral minimal model method. En: Diabetes 63 (2014), Nr. 4, p. 1203{1213. { ISSN 00121797spa
dc.relation.referencesCong, Tran H. ; Kim, Young J. ; Lim, Myo T.: Hybrid Extended Kalman Filterbased localization with a highly accurate odometry model of a mobile robot. En: 2008 International Conference on Control, Automation and Systems, ICCAS 2008 (2008), p. 738{743. ISBN 9788995003893spa
dc.relation.referencesDalla Man, Chiara ; Rizza, Robert A. ; Cobelli, Claudio: Meal simulation model of the glucose-insulin system. En: IEEE Transactions on Biomedical Engineering 54 (2007), Nr. 10, p. 1740{1749. { ISSN 00189294spa
dc.relation.referencesD'Jorge, A. ; Anderson, A. L. ; Ferramosca, A. ; Gonz alez, A. H. ; Actis, Marcelo: On stability of nonzero set-point for non linear impulsive control systems. En: arXiv (2020), p. 1{16. { ISSN 23318422spa
dc.relation.referencesEllingsen, Christian ; Dassau, Eyal ; Zisser, Howard ; Grosman, Benyamin ; Percival, Matthew W. ; Jovanovi c, Lois ; Doyle, Francis J.: Safety constraints in an arti cial pancreatic cell: An implementation of model predictive control with insulin on board. En: Journal of Diabetes Science and Technology 3 (2009), Nr. 3, p. 536{544. { ISSN 19322968spa
dc.relation.referencesFisher, Michael E. A Semiclosed-Loop Algorithm for the Control of Blood Glucose Levels in Diabetics. 1991spa
dc.relation.referencesGodoy, J. L. ; Sereno, J. E. ; Rivadeneira, P. S.: Meal detection and carbohydrate estimation based on a feedback scheme with application to the arti cial pancreas. En: Biomedical Signal Processing and Control 68 (2021), jul, p. 102715. { ISSN 1746{8094spa
dc.relation.referencesGoradel, Nasser H. ; Mohajel, Nasir ; Malekshahi, Ziba V. ; Jahangiri, Samira ; Najafi, Masoud ; Farhood, Bagher ; Mortezaee, Keywan ; Negahdari, Babak ; Arashkia, Arash: Oncolytic adenovirus: A tool for cancer therapy in combination with other therapeutic approaches. En: Journal of Cellular Physiology 234 (2019), Nr. 6, p. 8636{8646. { ISSN 10974652spa
dc.relation.referencesGrosman, Benyamin ; Dassau, Eyal ; Zisser, Howard C. ; Jovanovi c, Lois ; Doyle, Francis J.: Zone model predictive control: A strategy to minimize hyper- and hypoglycemic events. En: Journal of Diabetes Science and Technology 4 (2010), Nr. 4, p. 961{975. { ISSN 19322968spa
dc.relation.referencesHartnell, Sara ; Fuchs, Julia ; Boughton, Charlotte K. ; Hovorka, Roman: Closed loop technology: a practical guide. En: Practical Diabetes 38 (2021), jul, Nr. 4, p. 33{39. { ISSN 2047{2897spa
dc.relation.referencesHarvey, Rebecca A. ; Dassau, Eyal ; Zisser, Howard ; Seborg, Dale E. ; Doyle, Francis J.: Design of the glucose rate increase detector: A meal detection module for the health monitoring system. En: Journal of Diabetes Science and Technology 8 (2014), Nr. 2, p. 307{320. { ISSN 19322968spa
dc.relation.referencesHovorka, Roman ; Allen, Janet M. ; Elleri, Daniela ; Chassin, Ludovic J. ; Harris, Julie ; Xing, Dongyuan ; Kollman, Craig ; Hovorka, Tomas ; Larsen, Anne Mette F. ; Nodale, Marianna ; De Palma, Alessandra ; Wilinska, Malgorzata E. ; Acerini, Carlo L. ; Dunger, David B.: Manual closed-loop insulin delivery in children and adolescents with type 1 diabetes: a phase 2 randomised crossover trial. En: The Lancet 375 (2010), Nr. 9716, p. 743{751. { ISSN 01406736spa
dc.relation.referencesHoyos, J. D. ; Villa-Tamayo, M. F. ; Builes-Montano, C. E. ; Ramirez-Rincon, A. ; Godoy, J. L. ; Garcia-Tirado, J. ; Rivadeneira, P. S.: Identi ability of Control-Oriented Glucose-Insulin Linear Models: Review and Analysis. En: IEEE Access 9 (2021), Nr. Mdi, p. 69173{69188. { ISSN 21693536spa
dc.relation.referencesInstitute, National C. Breast Cancer - Patient Version. https://www.cancer.gov/types/breastspa
dc.relation.referencesInstitute, National C. Breast Cancer Treatment. https://www.cancer.gov/types/breast/patient/breast-treatment-pdqspa
dc.relation.referencesInstitute, National C. Cancer Staging. https://www.cancer.gov/aboutcancer/ diagnosis-staging/stagingspa
dc.relation.referencesInstitute, National C. What Is Cancer? https://www.cancer.gov/aboutcancer/ understanding/what-is-cancerspa
dc.relation.referencesJenner, Adrianne L. ; Kim, Peter S. ; Frascoli, Federico: Oncolytic virotherapy for tumours following a Gompertz growth law. En: Journal of Theoretical Biology 480 (2019), p. 129{140. { ISSN 10958541spa
dc.relation.referencesJenner, Adrianne L. ; Yun, Chae O. ; Kim, Peter S. ; Coster, Adelle C.: Mathematical Modelling of the Interaction Between Cancer Cells and an Oncolytic Virus: Insights into the E ects of Treatment Protocols. En: Bulletin of Mathematical Biology 80 (2018), Nr. 6, p. 1615{1629. { ISSN 15229602spa
dc.relation.referencesKandepu, Rambabu ; Foss, Bjarne ; Imsland, Lars: Applying the unscented Kalman lter for nonlinear state estimation. En: Journal of Process Control 18 (2008), Nr. 7-8, p. 753{768. { ISSN 09591524spa
dc.relation.referencesKasper, Dennis L. ; Braunwald, Eugene ; Faucy, Antony S. ; Hauser, Stephen L. ; Longo, Dan L. ; Jameson, J. L. ; McGraw-hill (Ed.): Harrison's Principles of Internal Medicine. New York, 2006. { ISBN 9780333227794spa
dc.relation.referencesKim, Pyung H. ; Sohn, Joo H. ; Choi, Joung W. ; Jung, Yukyung ; Kim, Sung W. ; Haam, Seungjoo ; Yun, Chae O.: Active targeting and safety pro le of PEG-modi ed adenovirus conjugated with herceptin. En: Biomaterials 32 (2011), Nr. 9, p. 2314{2326. { ISSN 01429612spa
dc.relation.referencesK olle, Konstanze ; Biester, Torben ; Christiansen, Sverre ; Fougner, Anders L. ; Stavdahl, yvind: Pattern Recognition Reveals Characteristic Postprandial Glucose Changes: Non-Individualized Meal Detection in Diabetes Mellitus Type 1. En: IEEE Journal of Biomedical and Health Informatics 24 (2020), Nr. 2, p. 594{602. { ISSN 21682208spa
dc.relation.referencesLimon, Daniel ; Ferramosca, Antonio ; Alvarado, Ignacio ; Alamo, Teodoro: Nonlinear MPC for Tracking Piece-Wise Constant Reference Signals. En: IEEE Transactions on Automatic Control 63 (2018), Nr. 11, p. 3735{3750. { ISSN 15582523spa
dc.relation.referencesMagdelaine, Nicolas ; Chaillous, Lucy ; Guilhem, Isabelle ; Poirier, Jean Y. ; Krempf, Michel ; Moog, Claude H. ; Le Carpentier, Eric: A long-term model of the glucose-insulin dynamics of type 1 diabetes. En: IEEE Transactions on Biomedical Engineering 62 (2015), Nr. 6, p. 1546{1552. { ISSN 15582531spa
dc.relation.referencesMahmoudi, Zeinab ; Boiroux, Dimitri ; Cameron, Faye ; Poulsen, Niels K. ; Bequette, B. W. ; J rgensen, John B. An automated meal detector and bolus calculator in combination with closed-loop blood glucose control. 2018spa
dc.relation.referencesMauseth, Richard ; Hirsch, Irl B. ; Bollyky, Jennifer ; Kircher, Robert ; Matheson, Don ; Sanda, Srinath ; Greenbaum, Carla. Use of a "fuzzy logic controller in a closed-loop arti cial pancreas. 2013spa
dc.relation.referencesMayne, D. Q. ; Rawlings, J. B. ; Rao, C. V. ; Scokaert, P. O.: Constrained model predictive control: Stability and optimality. En: Automatica 36 (2000), Nr. 6, p. 789{814. { ISSN 00051098spa
dc.relation.referencesMayne, David Q.: Model predictive control: Recent developments and future promise. En: Automatica 50 (2014), Nr. 12, p. 2967{2986. { ISSN 00051098spa
dc.relation.referencesMoscoso-Vasquez, Marcela ; Colmegna, Patricio ; Rosales, Nicolas ; Garelli, Fabricio ; Sanchez-Pena, Ricardo: Control-Oriented Model with Intra-Patient Variations for an Arti cial Pancreas. En: IEEE Journal of Biomedical and Health Informatics 24 (2020), Nr. 9, p. 2681{2689. { ISSN 21682208spa
dc.relation.referencesMoscoso-Vasquez, Marcela ; Colmegna, Patricio ; Sanchez-Pena, Ricardo S.: Intra-Patient dynamic variations in type 1 diabetes: A review. En: 2016 IEEE Conference on Control Applications, CCA 2016 (2016), p. 416{421. ISBN 9781509007554spa
dc.relation.referencesNath, Anirudh ; Deb, Dipankar ; Dey, Rajeeb ; Das, Sipon: Blood glucose regulation in type 1 diabetic patients: An adaptive parametric compensation control-based approach. En: IET Systems Biology 12 (2018), Nr. 5, p. 19{225. { ISSN 17518849spa
dc.relation.referencesPannocchia, Gabriele ; Gabiccini, Marco ; Artoni, Alessio: O set-free MPC explained: Novelties, subtleties, and applications. En: IFAC-PapersOnLine 48 (2015), Nr. 23, p. 342{351. { ISSN 24058963spa
dc.relation.referencesPapadakis, Maxine A. ; McPhee, Stephen J. ; Rabow, Michael W.: Diagnostico Clinico y Tratamiento. 2017. { ISBN 9786071514103spa
dc.relation.referencesPowers, Alvin C. ; D'Alessio, David ; McGraw-hill (Ed.): Goodman and Gilman: Las bases farmacol ogicas de la terap eutica. Vol. 12. 12. New York, 2012. { ISBN 9701057392spa
dc.relation.referencesPrakash, J. ; Patwardhan, Sachin C. ; Shah, Sirish L.: State estimation and nonlinear predictive control of autonomous hybrid system using derivative free state estimators. En: Journal of Process Control 20 (2010), Nr. 7, p. 787{799. { ISSN 09591524spa
dc.relation.referencesRamkissoon, Charrise M. ; Herrero, Pau ; Bondia, Jorge ; Vehi, Josep: Unannounced meals in the arti cial pancreas: Detection using continuous glucose monitoring. En: Sensors (Switzerland) 18 (2018), Nr. 3, p. 1{18. { ISSN 14248220spa
dc.relation.referencesRawlings, J.B. ; Meadows, E.S. ; Muske, K.R.: Nonlinear Model Predictive Control: A Tutorial and Survey. En: IFAC Proceedings Volumes 27 (1994), Nr. 2, p. 185{197. { ISSN 14746670spa
dc.relation.referencesRivadeneira, P. S. ; Moog, C. H.: Impulsive control of single-input nonlinear systems with application to HIV dynamics. En: Applied Mathematics and Computation 218 (2012), Nr. 17, p. 8462{8474. { ISSN 00963003spa
dc.relation.referencesRivadeneira, Pablo S. ; Ferramosca, Antonio ; Gonz alez, Alejandro H.: Control Strategies for Nonzero Set-Point Regulation of Linear Impulsive Systems. En: IEEE Transactions on Automatic Control 63 (2018), Nr. 9, p. 2994{3001. { ISSN 15582523spa
dc.relation.referencesRivadeneira, Pablo S. ; Moog, Claude H.: Observability criteria for impulsive control systems with applications to biomedical engineering processes. En: Automatica 55 (2015), p. 125{131. { ISSN 00051098spa
dc.relation.referencesSA, Brown ; BP, Kovatchev ; D, Raghinaru ; JW, Lum ; BA, Buckingham ; YC, Kudva ; LM, La el ; CJ, Levy ; JE, Pinsker ; RP, Wadwa ; E, Dassau ; FJ, Doyle ; SM, Anderson ; MM, Church ; V, Dadlani ; L, Ekhlaspour ; GP, Forlenza ; E, Isganaitis ; DW, Lam ; C, Kollman ; RW, Beck ; IDCL, Trial Research G. Six-month randomized, multicenter trial of closed-loop control in type 1 diabetes. 2020spa
dc.relation.referencesSamadi, Sediqeh ; Turksoy, Kamuran ; Hajizadeh, Iman ; Feng, Jianyuan ; Sevil, Mert ; Cinar, Ali: Meal Detection and Carbohydrate Estimation Using Continuous Glucose Sensor Data. En: IEEE Journal of Biomedical and Health Informatics 21 (2017), Nr. 3, p. 619{627. { ISSN 21682194spa
dc.relation.referencesSociety, American C. Alcohol Use and Cancer. https://www.cancer.org/cancer/cancer-causes/diet-physical-activity/alcohol-use and cancer.htmlspa
dc.relation.referencesSociety, American C. American Cancer Society Recommendations for the Early Detection of Breast Cancer. https://www.cancer.org/cancer/breast-cancer/screeningtests-and-early-detection/american-cancer-society-recommendations-for-the-early detection-of-breast-cancer.htmlspa
dc.relation.referencesSociety, American C. Bacteria that Can Lead to Cancer. https://www.cancer.org/cancer/cancer-causes/infectious-agents/infections-that-canlead-to-cancer/bacteria.htmlspa
dc.relation.referencesSociety, American C. Breast Biopsy. https://www.cancer.org/cancer/breastcancer/screening-tests-and-early-detection/breast-biopsy.htmlspa
dc.relation.referencesSociety, American C. Breast Cancer Grades. https://www.cancer.org/cancer/breastcancer/understanding-a-breast-cancer-diagnosis/breast-cancer-grades.htmlspa
dc.relation.referencesSociety, American C. Breast Cancer HER2 Status. https://www.cancer.org/cancer/breast-cancer/understanding-a-breast-cancerdiagnosis/breast-cancer-her2-status.htmlspa
dc.relation.referencesSociety, American C. Breast Cancer Hormone Receptor Status. https://www.cancer.org/cancer/breast-cancer/understanding-a-breast-cancerdiagnosis/breast-cancer-hormone-receptor-status.htmlspa
dc.relation.referencesSociety, American C. Breast Cancer Stages. https://www.cancer.org/cancer/breastcancer/understanding-a-breast-cancer-diagnosis/stages-of-breast-cancer.htmlspa
dc.relation.referencesSociety, American C. Breast MRI. https://www.cancer.org/cancer/breastcancer/screening-tests-and-early-detection/breast-mri-scans.htmlspa
dc.relation.referencesSociety, American C. Breast Ultrasound. https://www.cancer.org/cancer/breastcancer/screening-tests-and-early-detection/breast-ultrasound.htmlspa
dc.relation.referencesSociety, American C. Cancer Staging. https://www.cancer.org/treatment/understandingyour-diagnosis/staging.htmlspa
dc.relation.referencesSociety, American C. Chemotherapy for Breast Cancer. https://www.cancer.org/cancer/breast-cancer/treatment/chemotherapy-for-breastcancer.htmlspa
dc.relation.referencesSociety, American C. Diet and Physical Activity: What's the Cancer Connec- tion? https://www.cancer.org/cancer/cancer-causes/diet-physical-activity/diet-andphysical-activity.htmlspa
dc.relation.referencesSociety, American C. Do X-rays and Gamma Rays Cause Cancer? https://www.cancer.org/cancer/cancer-causes/radiation-exposure/x-rays-gammarays/do-xrays-and-gamma-rays-cause-cancer.htmlspa
dc.relation.referencesSociety, American C. Does Body Weight A ect Cancer Risk? https://www.cancer.org/cancer/cancer-causes/diet-physical-activity/body-weightand-cancer-risk/e ects.htmlspa
dc.relation.referencesSociety, American C. Family Cancer Syndromes. https://www.cancer.org/cancer/cancer-causes/genetics/family-cancer-syndromes.htmlspa
dc.relation.referencesSociety, American C. Harmful Chemicals in Tobacco Products. https://www.cancer.org/about-us.htmlspa
dc.relation.referencesSociety, American C. Hormone Therapy for Breast Cancer. https://www.cancer.org/cancer/breast-cancer/treatment/hormone-therapy-for-breastcancer.htmlspa
dc.relation.referencesSociety, American C. How Common Is Breast Cancer? https://www.cancer.org/cancer/breast-cancer/about/how-common-is-breastcancer.htmlspa
dc.relation.referencesSociety, American C. Immunotherapy for Breast Cancer. https://www.cancer.org/cancer/breast-cancer/treatment/immunotherapy.htmlspa
dc.relation.referencesSociety, American C. Inflammatory Breast Cancer -American Cancer So- ciety. https://www.cancer.org/cancer/breast-cancer/understanding-a-breast-cancerdiagnosis/types-of-breast-cancer/inflammatory-breast-cancer.htmlspa
dc.relation.referencesSociety, American C. Lymph Nodes and Cancer. https://www.cancer.org/cancer/cancer-basics/lymph-nodes-and-cancer.htmlspa
dc.relation.referencesSociety, American C. Parasites that Can Lead to Cancer. https://www.cancer.org/cancer/cancer-causes/infectious-agents/infections-that-canlead-to-cancer/parasites.htmlspa
dc.relation.referencesSociety, American C. Radiation for Breast Cancer. https://www.cancer.org/cancer/breast-cancer/treatment/radiation-for-breastcancer.htmlspa
dc.relation.referencesSociety, American C. Radon and Cancer. https://www.cancer.org/cancer/cancercauses/radiation-exposure/radon.htmlspa
dc.relation.referencesSociety, American C. Surgery for Breast Cancer. https://www.cancer.org/cancer/breast-cancer/treatment/surgery-for-breastcancer.htmlspa
dc.relation.referencesSociety, American C. Targeted Drug Therapy for Breast Cancer. https://www.cancer.org/cancer/breast-cancer/treatment/targeted-therapy-for-breastcancer.htmlspa
dc.relation.referencesSociety, American C. Types of Breast Cancer. https://www.cancer.org/cancer/breastcancer/understanding-a-breast-cancer-diagnosis/types-of-breast-cancer.htmlspa
dc.relation.referencesSociety, American C. Ultraviolet (UV) Radiation. https://www.cancer.org/cancer/cancer-causes/radiation-exposure/uv-radiation.htmlspa
dc.relation.referencesSociety, American C. Viruses that Can Lead to Cancer. https://www.cancer.org/cancer/cancer-causes/infectious-agents/infections-that-canlead-to-cancer/viruses.htmlspa
dc.relation.referencesSociety, American C. What Is Breast Cancer? https://www.cancer.org/cancer/breast-cancer/about/what-is-breast-cancer.htmlspa
dc.relation.referencesSociety, American C. What Is Cancer? https://www.cancer.org/cancer/cancerbasics/what-is-cancer.htmlspa
dc.relation.referencesSteil, Garry M. ; Rebrin, Kerstin ; Darwin, Christine ; Hariri, Farzam ; Saad, Mohammed F.: Feasibility of automating insulin delivery for the treatment of type 1 diabetes. En: Diabetes 55 (2006), Nr. 12, p. 3344{3350. { ISSN 00121797spa
dc.relation.referencesStraka, Ond A™ej ; Dun k, Jind A™ich ; Simandl, Miroslav: Automatica Unscented Kalman lter with advanced adaptation of. En: Automatica 50 (2014), Nr. 10, p.2657{2664. { ISSN 0005{1098spa
dc.relation.referencesSun, Jitao: Impulsive control of a new chaotic system. En: Mathematics and Computers in Simulation 64 (2004), Nr. 6, p. 669{677. { ISSN 0378{4754spa
dc.relation.referencesTang, Liu ; Chang, Shwu J. ; Chen, Ching J. ; Liu, Jen T.: Non-invasive blood glucose monitoring technology: A review. En: Sensors (Switzerland) 20 (2020), Nr. 23,p. 1{32. { ISSN 14248220spa
dc.relation.referencesVilla-tamayo, Maria F.: Compensación del efecto de variaciones fisioló cas en la glucemia de pacientes diabéticos tipo 1 utilizando control predictivo con entradas impulsivas., Universidad Nacional de Colombia, Tesis de Magisten en Ingeniería - Automatización industrial, 2021spa
dc.relation.referencesVilla-Tamayo, Maria F. ; Anelone, Anet J. ; Rivadeneira, Pablo S.: Tumor Reduction Using Oncolytic Viruses under an Impulsive Nonlinear Estimation and Predictive Control Scheme. En: IEEE Control Systems Letters 5 (2021), Nr. 5, p. 1705{1710. {ISSN 24751456spa
dc.relation.referencesVilla-Tamayo, Mar a F. ; Caicedo, Michelle A. ; Rivadeneira, Pablo S.: O set-free MPC strategy for nonzero regulation of linear impulsive systems. En: ISA Transactions 101 (2020), p. 91{101. { ISSN 00190578spa
dc.relation.referencesVilla Tamayo, Mar a F. ; Caicedo Alvarez, Michelle A. ; Rivadeneira, Pablo S.: Handling Parameter Variations during the Treatment of Type 1 Diabetes Mellitus: In Silico Results. En: Mathematical Problems in Engineering 2019 (2019). { ISSN 15635147spa
dc.relation.referencesVilla Tamayo, Mar a F. ; Caicedo Alvarez, Michelle A. ; Rivadeneira, Pablo S.: Handling Parameter Variations during the Treatment of Type 1 Diabetes Mellitus: In Silico Results. En: Mathematical Problems in Engineering 2019 (2019). { ISSN 15635147spa
dc.relation.referencesVilla-Tamayo, Mar a F. ; Garc a-Jaramillo, Maira ; Le on-Vargas, Fabian; Rivadeneira, Pablo S.: Interval Safety Layer Coupled With an Impulsive MPC for Arti cial Pancreas to Handle Intrapatient Variability. En: Frontiers in Endocrinology 13 (2022), Nr. February, p. 1{13. { ISSN 16642392spa
dc.relation.referencesXiong, Binyu ; Zhang, Huajun ; Deng, Xiangtian ; Tang, Jinrui: State of charge estimation based on sliding mode observer for vanadium redox ow battery. En: IEEE Power and Energy Society General Meeting 2018-January (2018), Nr. 4, p. 1{5. { ISBN 9781538622124spa
dc.relation.referencesYu, Hengguo ; Zhong, Shouming ; Agarwal, Ravi P.: Mathematics analysis and chaos in an ecological model with an impulsive control strategy. En: Communications in Nonlinear Science and Numerical Simulation 16 (2011), Nr. 2, p. 776{786. { ISSN 10075704spa
dc.relation.referencesZhao, Linhui ; Liu, Zhiyuan ; Chen, Hong: Vehicle state and friction force estimation using nonlinear observer strategies. En: Proceedings of the 27th Chinese Control Conference, CCC 2 (2008), Nr. 2, p. 667{671. ISBN 9787900719706spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.licenseAtribución-NoComercial-SinDerivadas 4.0 Internacionalspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/spa
dc.subject.ddc620 - Ingeniería y operaciones afines::629 - Otras ramas de la ingenieríaspa
dc.subject.ddc610 - Medicina y saludspa
dc.subject.lembNonlinear systemseng
dc.subject.lembSistemas no linealesspa
dc.subject.lembLinear systemseng
dc.subject.lembSistemas linealesspa
dc.subject.lembCáncerspa
dc.subject.proposalControl predictivo basado en modelospa
dc.subject.proposalDiabetes mellitus tipo 1spa
dc.subject.proposalControl no linealspa
dc.subject.proposalEstimación de entradas desconocidasspa
dc.subject.proposalTerapia viralspa
dc.subject.proposalModel-based predictive controleng
dc.subject.proposalNonlinear controleng
dc.subject.proposalEstimation of unknown inputseng
dc.subject.proposalType 1 diabetes mellituseng
dc.subject.proposalViral therapyeng
dc.titleDesarrollo de una estrategia de control predictivo no lineal y estimación de entradas desconocidas con aplicaciones a procesos biomédicosspa
dc.title.translatedDevelopment of a non-linear predictive control strategy with applications oriented to biomedical systemseng
dc.typeTrabajo de grado - Maestríaspa
dc.type.coarhttp://purl.org/coar/resource_type/c_bdccspa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/masterThesisspa
dc.type.redcolhttp://purl.org/redcol/resource_type/TMspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
dcterms.audience.professionaldevelopmentEstudiantesspa
dcterms.audience.professionaldevelopmentInvestigadoresspa
dcterms.audience.professionaldevelopmentMaestrosspa
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2spa

Archivos

Bloque original

Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
1152218627.2022.pdf
Tamaño:
4.41 MB
Formato:
Adobe Portable Document Format
Descripción:
Tesis de Maestría en Ingeniería - Automatización Industrial

Bloque de licencias

Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
license.txt
Tamaño:
5.74 KB
Formato:
Item-specific license agreed upon to submission
Descripción: