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Quasi-Model-Based Control of Type 1 Diabetes Mellitus
Author(s) -
András György,
Levente Kovács,
Péter G. Szalay,
Dániel András Drexler,
Balázs Benyó,
Zoltán Benyó
Publication year - 2011
Publication title -
journal of electrical and computer engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.318
H-Index - 25
eISSN - 2090-0155
pISSN - 2090-0147
DOI - 10.1155/2011/728540
Subject(s) - controller (irrigation) , control theory (sociology) , grasp , minimax , control (management) , type (biology) , insulin , type 1 diabetes , computer science , blood sugar regulation , diabetes mellitus , mathematics , mathematical optimization , medicine , artificial intelligence , endocrinology , ecology , agronomy , biology , programming language
Glucose-insulin models appeared in the literature are varying in complexity. Hence,their use in control theory is not trivial. The paper presents an optimal controller designframework to investigate the type 1 diabetes from control theory point of view. Starting froma recently published glucose-insulin model a Quasi Model with favorable control propertiesis developed minimizing the physiological states to be taken into account. The purpose of theQuasi Model is not to model the glucose-glucagon-insulin interaction precisely, but only to grasp thecharacteristic behavior such that the designed controller can successfully regulate the unbalancedsystem. Different optimal control strategies (pole-placement, LQ, Minimax control) are designedon the Quasi Model, and the obtained controllers' applicability is investigated on two moresophisticated type 1 diabetic models using two absorption scenarios. The developed frameworkcould help researchers engaging the control problem of diabetes

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