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
Link To Document :
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