Short- and Long-Term Optimal Control of a Mathematical Model for HIV Infection of C D 4 + T Cells

The main goal of this study was to develop a theoretical short- and long-term optimal control treatment of HIV infection of C D 4 + 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 classicalcontroltheoryisappliedtoamathematicalmodelofHIVinfectionof C D 4 + T cells characterized by a system of nonlinear differential equations with the following unknown functions: the concentration of susceptible C D 4 + T cells, C D 4 + T cells infected by the HIV viruses and free HIV virus particles in the blood.

[1]  Mohammad Hadi Farahi,et al.  A different approach of optimal control on an HIV immunology model , 2014 .

[2]  Ş. Yüzbaşı A numerical approach to solve the model for HIV infection of CD4+T cells , 2012 .

[3]  Jeehyun Lee,et al.  Optimal control of an age-structured model of HIV infection , 2012, Appl. Math. Comput..

[4]  José Marie Orellana,et al.  Optimal drug scheduling for HIV therapy efficiency improvement , 2011, Biomed. Signal Process. Control..

[5]  Ahmet Yildirim,et al.  On the numerical solution of the model for HIV infection of CD4+ T cells , 2011, Comput. Math. Appl..

[6]  Jeehyun Lee,et al.  Free Terminal Time Optimal Control Problem of an HIV Model Based on a Conjugate Gradient Method , 2011, Bulletin of mathematical biology.

[7]  To Oluyo,et al.  Mathematical analysis of the global dynamics of a model for HIV infection of CD4 + T cells , 2008 .

[8]  Robert F Stengel,et al.  Mutation and Control of the Human Immunodeficiency Virus , 2022 .

[9]  Dominik Wodarz,et al.  Infection dynamics in HIV-specific CD4 T cells: does a CD4 T cell boost benefit the host or the virus? , 2007, Mathematical biosciences.

[10]  D M Bortz,et al.  Model Selection and Mixed-Effects Modeling of HIV Infection Dynamics , 2006, Bulletin of mathematical biology.

[11]  Mostafa Rachik,et al.  Optimal control and infectiology: Application to an HIV/AIDS model , 2006, Appl. Math. Comput..

[12]  B. Adams,et al.  HIV dynamics: Modeling, data analysis, and optimal treatment protocols , 2005 .

[13]  Ruy M Ribeiro,et al.  Modeling the long-term control of viremia in HIV-1 infected patients treated with antiretroviral therapy. , 2004, Mathematical biosciences.

[14]  Hem Raj Joshi,et al.  Optimal control of an HIV immunology model , 2002 .

[15]  C. Mahé,et al.  HIV-1 infection in rural Africa: is there a difference in median time to AIDS and survival compared with that in industrialized countries? , 2002, AIDS.

[16]  Alan S. Perelson,et al.  Mathematical Analysis of HIV-1 Dynamics in Vivo , 1999, SIAM Rev..

[17]  S. Lenhart,et al.  OPTIMIZING CHEMOTHERAPY IN AN HIV MODEL , 1998 .

[18]  D. Kirschner,et al.  Optimal control of the chemotherapy of HIV , 1997, Journal of mathematical biology.

[19]  K. Kim CD4+T Cells , 1993 .

[20]  Shigui Ruan,et al.  Mathematical Biology Digital Object Identifier (DOI): , 2000 .