NDLI: Nonlinear MPC of HIV-1 infection with periodic inputs

Content Provider	IEEE Xplore Digital Library
Author	Pinheiro, Joao V. Lemos, Joao M. Vinga, Susana
Copyright Year	2011
Description	Author affiliation: INESC-ID, R. Alves Redol 9, 1000-029 Lisboa, Portugal (Vinga, Susana) \|\| INESC-ID, Portugal (Pinheiro, Joao V.) \|\| INESC-ID and IST/UTL, R. Alves Redol 9, 1000-029 Lisboa, Portugal (Lemos, Joao M.)
Abstract	Although many papers address the issue of therapy design for HIV-1 infection based on control methods, the results available in the literature do not in general consider the fact that the manipulated variable is not continuous but a train of pulses. In addition, they are usually concerned only with the relation between drug effect (assumed to be manipulated) and virus dynamics. In order to improve the direct relation with actual clinical practice, the present work takes as manipulated variable a train of impulses that represent the pills taken by the patient and includes pharmacokinetics (PK) and pharmacodynamic (PD) drug models. In addition, patient adherence to treatment and their impact on virus drug resistance is also modeled. The problem of driving the viral load to a low specified value while minimizing the amount of drugs administered to the patient is thus addressed by nonlinear model predictive control (NMPC) with periodic inputs. Therefore, the paper contributions consist in the characterization of the results obtained with this type of control strategy in a HIV-1 infection model comprising drug PK and PD, development of virus resistance to drugs and virus dynamics. Furthermore, it is shown that various amounts of reverse transcriptase inhibitor (RTI) and protease inhibitor (PI) drugs can be given depending on the weights of the cost function minimized by periodic NMPC, while attaining the same control objective. It is proposed that these weights can be adjusted to minimize the toxicity of the drug cocktail administered.
Starting Page	65
Ending Page	70
File Size	324667
Page Count	6
File Format	PDF
ISBN	9781612848006
ISSN	07431546
e-ISBN	9781612848013
e-ISBN	9781612847993
DOI	10.1109/CDC.2011.6160806
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Drugs Plasmas Immune system Prediction algorithms Inhibitors Mathematical model biomedical systems Nonlinear Model Predictive Control Periodic control HIV-1 infection control immunology
Content Type	Text
Resource Type	Article
Subject	Control and Optimization Control and Systems Engineering Modeling and Simulation

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