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

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


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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

Item Type: Book Section
Subjects: R Medicine / orvostudomány > RC Internal medicine / belgyógyászat > RC658.5 Diabetes / diabetológia
T Technology / alkalmazott, műszaki tudományok > TA Engineering (General). Civil engineering (General) / általános mérnöki tudományok
Depositing User: MTMT SWORD
Date Deposited: 16 Jan 2017 08:16
Last Modified: 16 Jan 2017 08:16

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