Author: CLAUDIA PATRICIA FLORES GUTIERREZ

identificación de modelo para incorporar escenarios de hiper- e hipoglucemia en control de DMT1

CLAUDIA PATRICIA FLORES GUTIERREZ (2011)

"En esta tesis se aborda la identificación de un modelo entrada-salida de un paciente con Diabetes Mellitus Tipo 1 bajo el régimen de terapia intensiva, es decir con monitoreo continuo de glucosa y suministro continuo de insulina. Como datos de entrada se utilizaron las dosis de insulina suministradas vía subcutánea y como datos de salida las mediciones de glucosa intersticial. Con el modelo identificado se diseña un controlador utilizando las herramientas de control robusto donde el objetivo es que el nivel de glucosa del paciente diabético siga el nivel de glucosa de una persona no diabética. En el diseño se contemplan el rechazo a perturbaciones por ingesta y variaciones paramétricas en la planta. Además, el error en la recepción de la medición es incluido en la síntesis del controlador como una función de peso. Con el propósito de incluir ingestas en las simulaciones numéricas, el controlador es probado utilizando un modelo por compartimentos no lineal, el nivel de glucosa del diabético sigue de cerca al nivel de referencia con un error de seguimiento de 15 mg/dL. La señal de control es mantenida en 22 mU/min aproximadamente."

"This thesis discusses the identification of input-output model of a patient with Type 1 Diabetes Mellitus in intensive therapy regimen, ie continuous glucose monitoring and continuous supply of insulin. The dose of insulin delivered subcutaneously is ised as input data and interstitial glucose measurements are used as output data. Eith the identified model a controller is designed using the tools of robust control, where the objective is that the level of glucose in diabetic patients tracking the level of glucose in a healthy subject, the disturbance rejection intake and variations parametric plant are included in the design. The reception error in the measurements is represented as a weight function. In order to include meals in the numerical simulations, the conotroller is tested using it as model for non-linear compartments, the diabetic´s glucose level closely reaches the reference level where the tracking error is up 15 mg/dL. The control signal is maintained at 22mU/min."

Doctoral thesis

Identificación de sistemas Terapia intensiva Diabetes Mellitus Tipo 1 Controladores robustos CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA MATEMÁTICAS

Stabilization of bed Inclination angle in rotary drums by using computer vision

CLAUDIA PATRICIA FLORES GUTIERREZ ANTONIO REYES OBANDO OCTAVIO ISRAEL RENTERIA VIDALES Alejandro Ricardo Femat Flores (2018)

"Computer vision systems have had great importance in research of different industrial processes. Videos and photographs have been used to characterize the bed behavior in a rotary drum; in this way, the bed motion, repose angles, trajectories, and particle velocity can be determined This work shows the development of a computer vision system that measures the bed inclination angle in industrial rotary drums. The purpose of the vision system is to capture the images when the angular velocity on the drum changes. Eventually, with the data measured during the two experiments in industrial rotary drums, we have identified two input-output models representing the slumping motion. Based on the control objective, we considered two approaches: regulation and tracking PI and PII2 controllers have been designed to show that a bed inclination angle can be stabilized for rolling motion considering plants that represent slumping motion and the inclination angle as the measured variable."

Article

Rotating drum Granular material Rolling bed Kilns Flow Motion Particles Behavior Solids Transition INGENIERÍA Y TECNOLOGÍA INGENIERÍA Y TECNOLOGÍA

Robust H∞ control of glycemia in Type 2 Diabetes Mellitus via continous insulin plus Metformin

NELIDA ELIZABETH LOPEZ PALAU CLAUDIA PATRICIA FLORES GUTIERREZ Alejandro Ricardo Femat Flores (2018)

"Several studies have shown that an adequate therapy for glycemic control in patients with type 2 diabetes mellitus (T2DM) can delay or prevent complications derived from this condition. To achieve the control objectives an adequate therapy should be performed by using insulin alone or in combination with an oral hypoglycemic agent. However, the key point of glycemic control is to determine the amount of insulin to be delivered. In order to achieve the above different strategies have been proposed, one of them is the design of feedback control algorithms. In this article a robust feedback control algorithm of glycemia in T2DM was designed. The algorithm determines the continuous insulin infusion to be delivered to maintain normoglycemia considering a combined therapy with a dose of metformin. The problem approach was to find a controller that minimized in the sense of the H? norm: i) the difference between the glycemia of a T2DM patient and a healthy subject (tracking problem) and ii) the effect of disturbances due to glucose intake and noise from a glucose sensor."

Article

Robust control Dynamic modelling Closed-loop Control Biomedical systems Pharmacokinetic-Pharmacodynamic modelling CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA MATEMÁTICAS MATEMÁTICAS