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Investigation of the TP-based modeling possibility of a nonlinear ICU diabetes model

  • Metaadatok
Tartalom: http://real.mtak.hu/45557/
Archívum: MTA Könyvtár
Gyűjtemény: Status = Published

Type = Book Section
Cím:
Investigation of the TP-based modeling possibility of a nonlinear ICU diabetes model
Létrehozó:
Eigner, György
Rudas, Imre J.
Kovács, Levente
Közreműködő:
Szakál, A.
Kiadó:
IEEE
Dátum:
2016
Téma:
RC658.5 Diabetes / diabetolĂłgia
TA Engineering (General). Civil engineering (General) / általános mérnöki tudományok
Tartalmi leírás:
In-silico modeling is an important part of
biomedical engineering. Advanced controllers providing
high quality control can be validated through it checking if
the available mathematical model of the given biomedical
process produces the desired output. However, due to high
patient variability the advanced linear control methods
applied on linearized models could produce several distortions
compared to the original nonlinear models; hence,
these errors should be reduced. Hierarchical control strategies
could be a possibility or from modeling point of view
using different control-oriented modeling methodologies.
Linear Parameter Varying (LPV) approaches with Linear
Matrix Inequality (LMI) based modeling and controller
design represent one choice. In this paper, we investigate
their generalized extension, the Tensor Product (TP) model
transformation demonstrated on diabetes modeling. In
concrete, the type 1 diabetes modeling on Intensive Care
Units (ICU) is envisaged. The achieved results will be used
for TP transformation based controller design in our later
work
Nyelv:
angol
Típus:
Book Section
NonPeerReviewed
info:eu-repo/semantics/bookPart
Formátum:
text
Azonosító:
Eigner, György and Rudas, Imre J. and Kovács, Levente (2016) Investigation of the TP-based modeling possibility of a nonlinear ICU diabetes model. In: 2016 IEEE International Conference on Systems, Man, and Cybernetics Conference Proceedings. IEEE, Budapest, pp. 3405-3410. ISBN 978-1-5090-1819-2
Kapcsolat:
MTMT:3166851