Title :
A control systems approach to HIV prevention with impulsive control input
Author :
Chang, H. ; Moog, C.H. ; Astolfi, A.
Author_Institution :
Centre for Process Syst. Eng., Imperial Coll. London, London, UK
Abstract :
We investigate a control method for HIV dynamics to boost the immune response using a model-based approach. The idea of impulsive control is discussed using a mathematical model. The HIV dynamic model includes the pharmacokinetics and pharmacodynamics of antiretroviral drugs. Consequently, the dosage of drugs are the control inputs. As they are administrated at discrete time instants this naturally yields an impulsive control problem for a nonlinear continuous-time system. Exploiting this model we emulate recently reported clinical experiments via numerical simulation and analyse the experimental results. It is noted that this modeling approach can help to provide a theoretical explanation of the clinical result. Throughout this paper it is pointed out that the protocol of the experiment could imply the enhancement of the immune response against HIV.
Keywords :
biocontrol; continuous time systems; control system synthesis; discrete time systems; diseases; drugs; medical control systems; nonlinear systems; numerical analysis; HIV dynamics; HIV prevention; antiretroviral drugs; control system approach; discrete time instants; immune response; impulsive control; impulsive control input; impulsive control problem; model-based approach; nonlinear continuous-time system; numerical simulation; pharmacodynamics; pharmacokinetics; Biological system modeling; Drugs; Human immunodeficiency virus; Immune system; Mathematical model; Numerical models; Trajectory;
Conference_Titel :
Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
Conference_Location :
Maui, HI
Print_ISBN :
978-1-4673-2065-8
Electronic_ISBN :
0743-1546
DOI :
10.1109/CDC.2012.6426853