By Topic

A set-valued observer approach to multiple-model adaptive control of neuromuscular blockade

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Rosa, P. ; Inst. for Syst. & Robot., Inst. Super. Tecnico, Lisbon, Portugal ; Lemos, J.M. ; Mendonca, T. ; Silvestre, C.

Due to their underlying complexity, biomedical systems are typically described by dynamic models with a significant level of uncertainty. Hence, classical control methods cannot be readily applied, as they do not render satisfactory results in terms of performance and even stability. Therefore, this paper proposes a multiple-model adaptive approach to the neuromuscular blockade control problem, based on the recent advances in set-valued observers for model falsification, that explicitly account for unknown parameters in the model. Some of the indistinguishability issues that usually arise in control problems with such levels of model uncertainty are also mentioned, The suggested method outperforms the alternatives in the literature, in terms of reference tracking error and of the number of successful model selections, as illustrated in simulation.

Published in:

American Control Conference (ACC), 2012

Date of Conference:

27-29 June 2012