A model predictive control approach for optimal drug administration

Sarimveis, H; Sopasakis, P; Afantitis, A; Melagraki, G

dc.contributor.author	Sarimveis, H	en
dc.contributor.author	Sopasakis, P	en
dc.contributor.author	Afantitis, A	en
dc.contributor.author	Melagraki, G	en
dc.date.accessioned	2014-03-01T02:51:55Z
dc.date.available	2014-03-01T02:51:55Z
dc.date.issued	2009	en
dc.identifier.issn	19749791	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/35747
dc.title	A model predictive control approach for optimal drug administration	en
heal.type	conferenceItem	en
heal.identifier.primary	10.3303/CET0917219	en
heal.identifier.secondary	http://dx.doi.org/10.3303/CET0917219	en
heal.publicationDate	2009	en
heal.abstract	The barriers between systems engineering and medicine are slowly eroding as recently it has become evident that medicine has a lot to gain by systems technology. In particular, the drug administration problem can be cast as a control engineering problem, where the objective is to keep the drug concentration at certain organs in the body close to desired set-points. A number of constraints render the problem rather challenging. For example, hard constraints may be posed on the drug concentration in blood, because a higher than a certain limit concentration may render the drug effects adverse and toxic. In this paper we show that a popular method for tackling chemical engineering control problems can be used for determining the optimal drug administration. Specifically, the Model Predictive Control (MPC) technology is used for taking optimal decisions regarding regulation of drug concentration in the human body, while incorporating constraints on both drug concentration and drug infusion rate. Copyright © 2009, AIDIC Servizi S.r.l.	en
heal.journalName	Chemical Engineering Transactions	en
dc.identifier.doi	10.3303/CET0917219	en
dc.identifier.volume	17	en
dc.identifier.spage	1311	en
dc.identifier.epage	1316	en