Abstract
The main goal of this study was to develop a theoretical short- and long-term optimal control treatment of HIV infection of \(CD4^{+}T\) cells. The aim of the mathematical model used herein is to make the free HIV virus particles in the blood decrease, while administering a treatment that is less toxic to patients. Pontryagin’s classical control theory is applied to a mathematical model of HIV infection of \(CD4^{+}T\) cells characterized by a system of nonlinear differential equations with the following unknown functions: the concentration of susceptible \(CD4^{+}T\) cells, \(CD4^{+}T\) cells infected by the HIV viruses and free HIV virus particles in the blood.
Similar content being viewed by others
References
Adams BM, Banks HT, Davidian M, Kwon H-D, Tran HT, Wynne SN, Rosenberg ES (2005) HIV dynamics: modeling, data analysis, and optimal treatment protocols. J Comput Appl Math 184:10–49
Borz DM, Nelson PW (2006) Model selection and mixed-effects modeling of HIV infection dynamics. Bull Math Biol 68(8):2005–2025
Culshaw R, Ruan S, Spiteri R (2004) Optimal HIV treatment by maximizing immune response. J Math Biol 48(5):545–562
DiMascio M, Ribeiro RM, Markowitz M, Ho DD, Perelson AS (2004) Modeling the long-term control of viremia in HIV-1 infected patients treated with antiretroviral therapy. Math Biosci 188(1–2):47–62
Fister KR, Lenhart S, McNally JS (1998) Optimizing chemotherapy in an HIV model. Electron J Differ Equ 32:1–12
Hadjiandreou MM, Conejeros R, Wilson DI (2009) Long-term HIV dynamics subject to continuous therapy and structured treatment. Chem Eng Sci 64:1600–1617
Jang T, Kwon H-D, Lee J (2011) Free terminal time optimal control problem of an HIV model based on a conjugate gradient method. Bull Math Biol 73:2408–2429
Joshi HR (2002) Optimal control of an HIV immunology model. Optim Control Appl Methods 23:199–213
Karrakchou J, Rachik M, Gourari S (2006) Optimal control and infectiology: application to an HIV/AIDS model. Appl Math Comput 177:806–818
Kirschner D, Lenhart S, Serbin S (1997) Optimal control of the chemotherapy of HIV. J Math Biol 35:775–792
Kwon H-D, Lee J, Yang S-D (2012) Optimal control of an age-structured model of HIV infection. Appl Math Comput 219:2766–2779
Merdan M, Gokdogan A, Yildirim A (2011) On the numerical solution of the model for HIV infection of \(CD4^{+}T\) cells. Comput Math Appl 62:118–123
Morgan D, Mahe C, Okongo B, Lubega R, Whitworth JA (2002) HIV-1 infection in rural Africa: Is there a difference in median time to aids and survival compared with that in industrialized countries? AIDS 16:597–632
Orellana JM (2011) Optimal drug scheduling for HIV therapy efficiency improvement. Biomed Signal Process Control 6:379–386
Perelson AS, Kirschner DE, Boer RD (1993) Dynamics of HIV infection \(CD4^{+}T\) cells. Math Biosci 114:81–125
Perelson AS, Nelson PW (1998) Mathematical analysis of HIV-I dynamics in vivo. SIAM Rev 41:3–44
Perera N (2003) Deterministic and stochastic models of virus dynamics. Ph.D. Thesis, Texas Tech University
Pontryagin LS, Boltyanskii VG, Gamkrelidze RV, Mishchenko EF (1962) The mathematical theory of optimal processes. Wiley, New Jersey
Roshanfekr M, Farahi MH, Rahbarian R (2014) A different approach of optimal control on an HIV immunology model. Ain Shams Eng J 5:213–219
Stengel RF (2008) Mutation and control of the human immunodeficiency virus. Math Biosci 213:93–102
Wang L, Li MY (2006) Mathematical analysis of the global dynamics of a model for HIV infection of \(CD4^{+}T\) cells. Math Biosci 200:44–57
Wodarz D, Hamer DH (2007) Infection dynamics in HIV-specific CD4 T cells: Does a CD4 T cell boost benefit the host or the virus? Math Biosci 209:14–29
Yuzbasi S (2012) A numerical approach to solve the model for HIV infection of \(CD4^{+}T\) cells. Appl Math Model 36:5876–5890
Zhou Y, Liang Y, Wu J (2014) An optimal strategy for HIV multitherapy. J Comput Appl Math 263:326–337
Acknowledgments
The author would like to thank the anonymous reviewers for the constructive feedback provided during the reviewing process.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Croicu, AM. Short- and Long-Term Optimal Control of a Mathematical Model for HIV Infection of \(CD4^{+}T\) Cells. Bull Math Biol 77, 2035–2071 (2015). https://doi.org/10.1007/s11538-015-0114-4
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11538-015-0114-4