期刊
OPTIMAL CONTROL APPLICATIONS & METHODS
卷 32, 期 6, 页码 681-699出版社
WILEY
DOI: 10.1002/oca.969
关键词
HIV model; Receding Horizon Control; extended Kalman filter; state estimator
资金
- National Institute of Allergy and Infectious Diseases [R01AI071915-07]
- Air Force Office of Scientific Research [FA9550-09-1-0226]
This paper describes a model of the immunologic response of the human immunodeficiency virus (HIV) in individuals. It then illustrates how a Receding Horizon Control (RHC) methodology can be used to drive the system to a stable equilibrium in which a strong immune response controls the viral load in the absence of drug treatment. We also illustrate how this feedback methodology can overcome unplanned treatment interruptions, inaccurate or incomplete data and imperfect model specification. We consider how ideas from stochastic estimation can be used in conjunction with RHC to create a robust treatment methodology. We then consider the performance of this methodology over random simulations of the previously considered clinical conditions. Copyright (C) 2010 John Wiley & Sons, Ltd.
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