Control of HIV Infection Dynamics

This article describes a drug scheduling method based on a reduced-order model, which does not require estimates of all of the parameters and states of the full-order model. To this end, we divide the full-order model into two subsystems, one of which is modified to approximate the full-order model. We show that the suggested method drives the HIV patient state into the LTNP region of attraction. This article is organized as follows. First, the problem under consideration is formulated, and a description of the HIV infection model is provided. Then, measurement methods for the states of the HIV model are surveyed. Subsequently the HIV infection model is modified to yield a reduced-order model. Finally, two control strategies based on this modified model are presented along with simulation results. The article concludes with a discussion and ideas for future work.