On the use of Nonlinear Model Predictive Control for pharmacological therapy optimization

Author

Pannocchia, Gabriele ; Landi, Alberto ; Laurino, Marco

Author_Institution

Dipt. di Ing. Chimica (DICCISM), Univ. of Pisa. Pisa, Pisa, Italy

fYear

2010

fDate

18-20 Feb. 2010

Firstpage

1

Lastpage

6

Abstract

In this paper, we discuss the opportunities that Nonlinear Model Predictive Control (NMPC) offers in the area of pharmacological therapy as an effective way for achieving optimization goals such as drug usage reduction while respecting safety and therapeutic constraints imposed by physicians. We first review a general formulation of NMPC and discuss some issues associated with its application to biomedical processes. Next, we present two simulated biomedical applications of NMPC: the first one deals with the optimization of anti-retroviral therapy in HIV and the second one discusses the optimization of multiple injection insulin therapy in Type 1 diabetics. Both these examples serve to highlight the main advantages of NMPC.

Keywords

medical control systems; nonlinear control systems; optimisation; predictive control; anti-retroviral therapy; biomedical processes; drug usage reduction; multiple injection insulin therapy; nonlinear model predictive control; pharmacological therapy optimization; therapeutic constraints; type 1 diabetics; Aerospace industry; Biomedical measurements; Drugs; Medical control systems; Medical treatment; Optimal control; Output feedback; Predictive control; Predictive models; State estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Health Care Management (WHCM), 2010 IEEE Workshop on

Conference_Location

Venice

Print_ISBN

978-1-4244-4997-2

Electronic_ISBN

978-1-4244-4998-9

Type

conf

DOI

10.1109/WHCM.2010.5441282

Filename

5441282