@inproceedings{710cc79af645434d970e471c8097794a,
title = "Integration of life sciences and engineering-optimal control of HIV using time scales",
abstract = "Based on recent research theme of the convergence and the integration of life sciences and engineering, designing and evaluating the treatment strategies for controlling Human Immunodeficiency Virus (HIV) infection using optimal control is addressed. Higher order optimal control laws arising from comprehensive HIV models result in complex treatment plans that are difficult to be implemented in practice. This paper presents a feasible long term optimal control treatment through the application of Singular Perturbation and Time Scales (SPaTS) methods. A nonlinear HIV model is decoupled into lower order, slow and fast subsystems based on its inherent time scale behavior. Distinct slow and fast Linear Quadratic Regulator (LQR) based optimal control laws are designed and applied in a conventional long term optimal treatment plan. The simulation results manifest the effectiveness of the proposed method.",
keywords = "HIV, Linear Quadratic Regulator, Optimal Control, Singular Perturbation, Time Scales",
author = "Shaleena Jaison and {Subbaram Naidu}, D.",
year = "2019",
month = mar,
doi = "10.1109/LifeTech.2019.8883974",
language = "English (US)",
series = "2019 IEEE 1st Global Conference on Life Sciences and Technologies, LifeTech 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1--3",
booktitle = "2019 IEEE 1st Global Conference on Life Sciences and Technologies, LifeTech 2019",
note = "1st IEEE Global Conference on Life Sciences and Technologies, LifeTech 2019 ; Conference date: 12-03-2019 Through 14-03-2019",
}
