A switching control strategy for the attenuation of blood glucose disturbances

Markakis, MG; Mitsis, GD; Papavassilopoulos, GP; Ioannou, PA; Marmarelis, VZ

dc.contributor.author	Markakis, MG	en
dc.contributor.author	Mitsis, GD	en
dc.contributor.author	Papavassilopoulos, GP	en
dc.contributor.author	Ioannou, PA	en
dc.contributor.author	Marmarelis, VZ	en
dc.date.accessioned	2014-03-01T01:35:02Z
dc.date.available	2014-03-01T01:35:02Z
dc.date.issued	2011	en
dc.identifier.issn	0143-2087	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/20948
dc.subject	diabetes	en
dc.subject	glucose disturbance	en
dc.subject	insulin	en
dc.subject	switching control	en
dc.subject.classification	Automation & Control Systems	en
dc.subject.classification	Operations Research & Management Science	en
dc.subject.classification	Mathematics, Applied	en
dc.subject.other	Blood glucose	en
dc.subject.other	Computational studies	en
dc.subject.other	Critical parameter	en
dc.subject.other	diabetes	en
dc.subject.other	Diabetic patient	en
dc.subject.other	Disturbance signals	en
dc.subject.other	Hypoglycaemic	en
dc.subject.other	Insulin infusions	en
dc.subject.other	Internal and external factors	en
dc.subject.other	Model-based	en
dc.subject.other	Optimal performance	en
dc.subject.other	Proportional-derivative controllers	en
dc.subject.other	switching control	en
dc.subject.other	Switching control strategy	en
dc.subject.other	Switching controllers	en
dc.subject.other	Algorithms	en
dc.subject.other	Blood	en
dc.subject.other	Computational complexity	en
dc.subject.other	Glucose	en
dc.subject.other	Insulin	en
dc.subject.other	Optimization	en
dc.subject.other	Switching	en
dc.subject.other	Switching systems	en
dc.subject.other	Controllers	en
dc.title	A switching control strategy for the attenuation of blood glucose disturbances	en
heal.type	journalArticle	en
heal.identifier.primary	10.1002/oca.900	en
heal.identifier.secondary	http://dx.doi.org/10.1002/oca.900	en
heal.language	English	en
heal.publicationDate	2011	en
heal.abstract	In this computational study we consider a generalized minimal model structure for the intravenously infused insulin-blood glucose dynamics, which can represent a wide variety of diabetic patients, and augment this model structure with a glucose rate disturbance signal that captures the aggregate effects of various internal and external factors on blood glucose. Then we develop a model-based, switching controller, which attempts to balance between optimal performance, reduced computational complexity and avoidance of dangerous hypoglycaemic events. We evaluate the proposed algorithm relative to the widely studied proportional-derivative controller for the regulation of blood glucose with continuous insulin infusions. The results show that the proposed switching control strategy can regulate blood glucose much better than the proportional-derivative controller for all the different types of diabetic patients examined. This new algorithm is also shown to be remarkably robust in the event of concurrent, unknown variations in critical parameters of the adopted model. Copyright (C) 2009 John Wiley & Sons, Ltd.	en
heal.publisher	WILEY-BLACKWELL	en
heal.journalName	Optimal Control Applications and Methods	en
dc.identifier.doi	10.1002/oca.900	en
dc.identifier.isi	ISI:000289217600005	en
dc.identifier.volume	32	en
dc.identifier.issue	2	en
dc.identifier.spage	185	en
dc.identifier.epage	195	en