Feedback control of a biodynamical model of HIV-1

M. E. Brandt; G. Chen

doi:10.1109/10.930900

Feedback control of a biodynamical model of HIV-1

M. E. Brandt
, G. Chen

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

89 Citations (Scopus)

Abstract

We describe a continuous differential equation model of the interaction dynamics of HIV-1 and CD4 and CD8 lymphocytes in the human body. We demonstrate several methods of stable control of the HIV-1 population using an external feedback control term that is analogous to the introduction of a therapeutic drug regimen. We also show how the immune system components can be bolstered against the virus through a feedback control approach.

Original language	English
Pages (from-to)	754-759
Journal	IEEE Transactions on Biomedical Engineering
Volume	48
Issue number	7
DOIs	https://doi.org/10.1109/10.930900
Publication status	Published - 2001
Externally published	Yes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Research Keywords

Antiretroviral therapy
Feedback control
HIV infection
Nonlinear modeling

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AU - Chen, G.

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AB - We describe a continuous differential equation model of the interaction dynamics of HIV-1 and CD4 and CD8 lymphocytes in the human body. We demonstrate several methods of stable control of the HIV-1 population using an external feedback control term that is analogous to the introduction of a therapeutic drug regimen. We also show how the immune system components can be bolstered against the virus through a feedback control approach.

KW - Antiretroviral therapy

KW - Feedback control

KW - HIV infection

KW - Nonlinear modeling

UR - https://www.scopus.com/pages/publications/0034977770

UR - https://www.scopus.com/pages/publications/0034977770#tab=impact

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DO - 10.1109/10.930900

M3 - RGC 21 - Publication in refereed journal

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JO - IEEE Transactions on Biomedical Engineering

JF - IEEE Transactions on Biomedical Engineering

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ER -

Feedback control of a biodynamical model of HIV-1

Abstract

UN SDGs

Research Keywords

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