Title :
Control of the transition to long-term nonprogressor in tristable HIV dynamics
Author :
Chang, H. ; Astolfi, A.
Author_Institution :
Department of Electrical and Electronic Engineering, Imperial College, London SW7 2AZ, UK
Abstract :
The human immunodeficiency virus (HIV) infection, that causes acquired immune deficiency syndrome (AIDS), is a dynamic process that can be modeled via differential equations. In this paper we apply a control strategy to boost the immune response for a tristable HIV dynamic model. The purpose of this control method is to steer the system to an equilibrium condition known as long-term nonprogressor, which corresponds to an infected patient that does not develop the symptoms of AIDS. The control strategy is implemented by controlled drug scheduling based on the understanding of the immune boosting mechanism. The feasibility of the methodology is illustrated via simulations.
Keywords :
Acquired immune deficiency syndrome; Biological system modeling; Boosting; Control systems; Differential equations; Drugs; Human immunodeficiency virus; Immune system; Optimal control; Scheduling; Anti-HIV Agents; CD4-Positive T-Lymphocytes; Computer Simulation; Drug Therapy, Computer-Assisted; Feedback; HIV Infections; HIV Long-Term Survivors; Humans; Models, Immunological; Time Factors;
Conference_Titel :
Engineering in Medicine and Biology Society, 2008. EMBS 2008. 30th Annual International Conference of the IEEE
Conference_Location :
Vancouver, BC
Print_ISBN :
978-1-4244-1814-5
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2008.4650322