DocumentCode :
3160204
Title :
Control of the HIV Infection Dynamics with a Reduced Second Order Model
Author :
Chang, H. ; Astolfi, A.
Author_Institution :
Imperial Coll. London, London
fYear :
2007
fDate :
9-13 July 2007
Firstpage :
4083
Lastpage :
4088
Abstract :
The HIV infection is a dynamic process that can be modeled mathematically. By means of changing the drug effect in the model, the primary goal of this paper is to show how to drive any initial state into an equilibrium called the nonprogressor, where the infected patient does not develop symptoms of AIDS. The goal is achieved by a new method of treatment. This method is based on an approximation of higher order dynamics by a reduced order model. For the approximation, we divide the HIV infection model into two subsystems and modify one of the subsystems to emulate the whole system. With the modification, we relieve the load to deal with the high order model, such as state observation and parameter estimation. The effectiveness of the new treatment is demonstrated by computer simulations.
Keywords :
medical control systems; patient treatment; reduced order systems; HIV infection dynamics; higher order dynamics approximation; nonprogressor; parameter estimation; reduced second order model; state observation; Acquired immune deficiency syndrome; Cities and towns; Computer simulation; Drugs; Human immunodeficiency virus; Immune system; Mathematical model; Medical treatment; Parameter estimation; Reduced order systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 2007. ACC '07
Conference_Location :
New York, NY
ISSN :
0743-1619
Print_ISBN :
1-4244-0988-8
Electronic_ISBN :
0743-1619
Type :
conf
DOI :
10.1109/ACC.2007.4282250
Filename :
4282250
Link To Document :
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