• DocumentCode
    433735
  • 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
  • Volume
    1
  • fYear
    2004
  • fDate
    20-23 July 2004
  • Firstpage
    25
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2004. 5th Asian
  • Conference_Location
    Melbourne, Victoria, Australia
  • Print_ISBN
    0-7803-8873-9
  • Type

    conf

  • Filename
    1425932
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=433735