• DocumentCode
    3161249
  • Title

    Exactly linearizing adaptive control of propofol and remifentanil using a reduced Wiener model for the depth of anesthesia

  • Author

    da Silva, Miguel Mira ; Wigren, T. ; Mendonca, Teresa

  • Author_Institution
    Dept. de Mat., Univ. do Porto, Porto, Portugal
  • fYear
    2012
  • fDate
    10-13 Dec. 2012
  • Firstpage
    368
  • Lastpage
    373
  • Abstract
    A closed-loop adaptive controller for propofol and remifentanil administration using BIS measurements is proposed in this paper. The controller design relies on a reduced MISO Wiener model for the depth of anesthesia. The exact linearization of this minimal Wiener structure using the model continuous-time parameter estimates calculated online by an extended Kalman filter is a key point in the design. A linear quadratic gaussian controller is developed for the exactly linearized system. Good results were obtained when the robustness of the proposed controller was assessed with respect to inter and intrapatient variability through Monte Carlo simulations on a database of 500 patients.
  • Keywords
    Kalman filters; Monte Carlo methods; adaptive control; control system synthesis; linear quadratic Gaussian control; linearisation techniques; medical control systems; BIS measurements; Monte Carlo simulations; adaptive control linearization; anesthesia depth; closed-loop adaptive controller; continuous-time parameter estimates; controller design; extended Kalman filter; interpatient variability; intrapatient variability; linear quadratic gaussian controller; linearized system; propofol administration; reduced MISO Wiener model; remifentanil administration; Adaptation models; Anesthesia; Databases; Drugs; Mathematical model; Standards; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2012 IEEE 51st Annual Conference on
  • Conference_Location
    Maui, HI
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-2065-8
  • Electronic_ISBN
    0743-1546
  • Type

    conf

  • DOI
    10.1109/CDC.2012.6425924
  • Filename
    6425924