Abstract

It is challenging to maintain normoglycemic range of glucose concentration in type I diabetic patients. In this study H∞ control is applied for insulin delivery to prevent the hyperglycemic levels in a type I diabetic patient. From a control theory point of view, the blood glucose regulation problem is reformulated as a tracking one. A glucose tolerance curve (GTC) validated from several patients is used as reference model. Intra- and inter-patient variability poses a challenging task to control blood glucose concentration in diabetic patients. We develop a data based robust controller to control blood glucose concentration in type I diabetic (TIDM) patients in the presence of meal disturbances under patient-model mismatch. Simulation studies are performed on the diabetic patient model under feedback control. It is seen that the proposed control strategy is able to control blood glucose concentration well within the acceptable limits and also compensate for slow parametric drifts.

Original languageEnglish
Pages (from-to)230-235
Number of pages6
JournalIETE Journal of Research
Volume55
Issue number5
DOIs
Publication statusPublished - 09-2009

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Diabetes Mellitus
Closed-loop Control
Medical problems
Glucose
Control Algorithm
Simulation Study
Blood
Insulin
Reference Model
Control theory
Control Theory
Feedback Control
Feedback control
Tolerance
Control Strategy
Disturbance
Controller
Controllers
Curve
Model

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

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abstract = "It is challenging to maintain normoglycemic range of glucose concentration in type I diabetic patients. In this study H∞ control is applied for insulin delivery to prevent the hyperglycemic levels in a type I diabetic patient. From a control theory point of view, the blood glucose regulation problem is reformulated as a tracking one. A glucose tolerance curve (GTC) validated from several patients is used as reference model. Intra- and inter-patient variability poses a challenging task to control blood glucose concentration in diabetic patients. We develop a data based robust controller to control blood glucose concentration in type I diabetic (TIDM) patients in the presence of meal disturbances under patient-model mismatch. Simulation studies are performed on the diabetic patient model under feedback control. It is seen that the proposed control strategy is able to control blood glucose concentration well within the acceptable limits and also compensate for slow parametric drifts.",
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