Abstract (EN):
In this paper the multiplicative uncertainty in the linearized minimally parameterized parsimonious Wiener model for the neuromuscular blockade is quantified. A set of model parameters was identified from input-output data collected in the surgery room from a population of fifty patients undergoing general anesthesia. The nominal model was considered to be the average of the transfer functions over all fifty realizations. The non-parametric and parametric methods that were implemented delivered similar beta-tolerance regions in the frequency domain for the multiplicative model uncertainty to be used in e.g. robust control design.
Language:
English
Type (Professor's evaluation):
Scientific
Contact:
margarida.silva@fc.up.pt; torbjorn.wigren@it.uu.se; alexander.medvedev@it.uu.se; tmendo@fc.up.pt
No. of pages:
6