Title :
HIV treatment scheduling via robust nonlinear model predictive control
Author :
Zurakowski, Ryan ; Messina, Michael J. ; Tuna, Sezai E. ; Teel, Andrew R.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
Abstract :
Feedback-based treatment scheduling for HIV patients is summarized. The feedback schedules are developed using a dynamic HIV infection model that has appeared in the literature. The theory behind the feedback schedules is nonlinear model predictive control. This branch of nonlinear control theory is reviewed, limitations are pointed out, and recent developments are summarized. It is indicated how these developments provide a flexible, robust design tool for the HIV treatment scheduling problem.
Keywords :
feedback; nonlinear control systems; patient treatment; predictive control; robust control; scheduling; HIV treatment scheduling; dynamic HIV infection model; feedback schedule; robust nonlinear model predictive control; Cells (biology); Drugs; Feedback; Human immunodeficiency virus; Immune system; Medical treatment; Predictive control; Predictive models; Processor scheduling; Robust control;
Conference_Titel :
Control Conference, 2004. 5th Asian
Conference_Location :
Melbourne, Victoria, Australia
Print_ISBN :
0-7803-8873-9
