Optimal Blood Glucose Regulation using Single Network Adaptive Critics

Ali, Faruque SK and Padhi, Radhakant (2009) Optimal Blood Glucose Regulation using Single Network Adaptive Critics. In: IEEE International Conference on Control Applications/International Symposium on Intelligent Control, JUL 08-10, 2009, St. Petersburg, pp. 89-94.

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Abstract

Diabetes is a serious disease during which the body's production and use of insulin is impaired, causing glucose concentration level toincrease in the bloodstream. Regulating blood glucose levels as close to normal as possible, leads to a substantial decrease in long term complications of diabetes. In this paper, an intelligent neural network on-line optimal feedback treatment strategy based on nonlinear optimal control theory is presented for the disease using subcutaneous treatment strategy. A simple mathematical model of the nonlinear dynamics of glucose and insulin interaction in the blood system is considered based on the Bergman's minimal model. A glucose infusion term representing the effect of glucose intake resulting from a meal is introduced into the model equations. The efficiency of the proposed controllers is shown taking random parameters and random initial conditions in presence of physical disturbances like food intake. A comparison study with linear quadratic regulator theory brings Out the advantages of the nonlinear control synthesis approach. Simulation results show that unlike linear optimal control, the proposed on-line continuous infusion strategy never leads to severe hypoglycemia problems.

Item Type:	Conference Paper
Series.:	IEEE International Conference on Control Applications
Publisher:	IEEE
Additional Information:	Copyright 2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
Department/Centre:	Division of Mechanical Sciences > Aerospace Engineering(Formerly Aeronautical Engineering)
Date Deposited:	09 Aug 2010 07:34
Last Modified:	26 Feb 2019 05:55
URI:	http://eprints.iisc.ac.in/id/eprint/31048

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