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Control por bloques adaptativo por modelo de referencia In silico para pacientes con diabetes tipo 1

Authors: Jacinto Mata, Misael G.; Castañeda Hernández, Carlos Eduardo; Orozco López, Onofré; Rodríguez Herrero, Agustín;

Control por bloques adaptativo por modelo de referencia In silico para pacientes con diabetes tipo 1

Abstract

En este trabajo se presenta un controlador adaptativo por modelo de referencia basado en la transformación del modelo no lineal a la forma controlable por bloques (MRAC-NBC) y unilateral. El controlador está formado por dos lazos, uno donde se ajusta el seguimiento del modelo del paciente y el otro donde se propone la glucosa de seguimiento para el paciente virtual. Las ganancias del NBC son ajustadas de forma heurística mediante la comparación de los estados del modelo de referencia con respecto a la estimación de los estados del paciente. En el lazo del modelo de referencia la dinámica se obtiene mediante el modelo de Bergman con un conjunto medio de parámetros, mientras que el lazo de paciente utiliza el mismo modelo, pero parametrizado de forma diferente. El MRAC-NBC respecto del NBC es capaz de conducir la glucemia del paciente a una glucosa objetivo independientemente de la variabilidad interpaciente y de las ingestas, aumentando el Target In Range en más del 18 %.

Country
Spain
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Keywords

Control predictivo, Tecnología Electrónica, Diabetes Mellitus Tipo 1, In Silico, 3314 Tecnología Médica, Modelo Glucosa-Insulina

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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