relation: http://eprints.imtlucca.it/1468/
title: A Model Predictive Control Approach for Optimal Drug Administration
creator: Sarimveis, Haralambos
creator: Sopasakis, Pantelis
creator: Afantitis, Antreas
creator: Melagraki, Georgia
subject: QA75 Electronic computers. Computer science
subject: RM Therapeutics. Pharmacology
subject: TP Chemical technology
description: 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 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 of drug concentration in the human body, while incorporating constraints on both drug concentration and drug infusion rate.  
publisher: AIDIC
date: 2009
type: Book Section
type: PeerReviewed
identifier:   Sarimveis, Haralambos and Sopasakis, Pantelis and Afantitis, Antreas and Melagraki, Georgia  A Model Predictive Control Approach for Optimal Drug Administration.   In:  Chemical Engineering Transactions, Series.   AIDIC, pp. 1311-1316.  ISBN 978-88-95608-01-3      (2009)  
relation: http://www.aidic.it/cet/09/17/219.pdf
relation: 10.3303/CET0917219