Parameter and State Estimation of a Mathematical Model of Carbohydrate Intake

被引：1

作者：

Olay-Blanco, A. ^{[1
]}

Rodriguez-Linan, A. ^{[1
]}

Quiroz, G. ^{[1
]}

机构：

[1] Univ Autonoma Nuevo Leon, Fac Ingn Mecan & Elect, Av Univ S-N,Cd Univ, San Nicolas De Los Garza 66455, NL, Mexico

来源：

IFAC PAPERSONLINE | 2018年 / 51卷 / 13期

关键词：

Parameter estimation; patient-specific models; glucose metabolism modeling; carbohydrate intake; glucose dynamics; DIABETES-MELLITUS; GLUCOSE; INSULIN; SYSTEM;

D O I：

10.1016/j.ifacol.2018.07.257

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Carbohydrate intake is one of the main disturbances in blood glucose metabolism and one of the major care-issues in diabetes therapy. For this reason, the dynamics of glucose absorption after a meal intake must be included in glucose metabolism models. Current interest in developing patient-specific models has shown the necessity to estimate key parameters in models of carbohydrate intake, which cannot be measured with available sensor technology. In this contribution, we present a scheme to estimate a parameter and a state related to absorption of glucose in the intestine, which depend on the amount of carbohydrates ingested in a meal. The scheme is based on an adaptive observer with exponential convergence to estimate states and uncertain constant parameters. (C) 2018, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.

引用

页码：73 / 78

页数：6

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