Transactions on Machine Intelligence

Transactions on Machine Intelligence

Design of Optimal Linear Feedback Controller for HIV Treatment

Document Type : Original Article

Authors
F. Mostafavi 1
H. Khodadadi 2
1 Department of Electrical Engineering, Faculty of Engineering, Khomeini Shahr Branch, Islamic Azad University, Khomeini Shahr, Iran
2 Assistant Professor, Control Engineering Department, Islamic Azad University, Khomeini Shahr Branch, Khomeini Shahr, Iran
10.47176/TMI.2021.201
Abstract
The design of optimal linear feedback controllers for HIV treatment is a multidisciplinary endeavor that combines principles from control theory, systems biology, and medical science. The goal is to create adaptive treatment strategies that can effectively manage the dynamics of HIV infection and optimize patient outcomes. Given the rapid advancements in control methods and the growing use of modern computers in recent years, these tools have also been applied in the field of medical processes. In this paper, after reviewing the model presented for HIV, a suitable model to describe the disease dynamics is selected. Then, using the linear feedback control method and considering the effect of antiretroviral drugs, an attempt is made to properly treat HIV. The six-variable HIV virus infection model is the basis of this study. Furthermore, considering the effect of RTIs and PIs drugs as control inputs, it is observed that the system is a nonlinear, multi-input, multi-output system. The stability of the system's internal dynamics is examined, and an optimal control method is used to optimize the dosage of injectable drugs for the patient, aiming to reduce side effects while effectively controlling the disease.
Keywords
HIV
Feedback Linearization
Zero Dynamics
Internal Dynamics
Optimal Control
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Transactions on Machine Intelligence
Volume 4, Issue 4
Autumn 2021
Pages 201-215

  • Receive Date 14 April 2021
  • Revise Date 21 June 2021
  • Accept Date 08 December 2021