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Quantification of the multiplicative uncertainty in the linearized minimally parameterized parsimonious Wiener model for the neuromuscular blockade in closed-loop anesthesia

Title
Quantification of the multiplicative uncertainty in the linearized minimally parameterized parsimonious Wiener model for the neuromuscular blockade in closed-loop anesthesia
Type
Article in International Conference Proceedings Book
Year
2013
Authors
Margarida M Silva
(Author)
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Torbjorn Wigren
(Author)
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Alexander V Medvedev
(Author)
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Teresa Mendonca
(Author)
FCUP
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Conference proceedings International
Pages: 703-708
21st Mediterranean Conference on Control and Automation (MED)
Platanias, GREECE, JUN 25-28, 2013
Indexing
Scientific classification
FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering
Other information
Authenticus ID: P-008-EY1
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
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