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Comparison of sigma-point filters for state estimation of diabetes models

Szalay, P. and Eigner, Gy. and Benyó, Z. and Rudas, I . and Kovács, Levente (2014) Comparison of sigma-point filters for state estimation of diabetes models. In: 2014 IEEE International Conference on Systems, Man and Cybernetics (SMC). IEEE, Piscataway, pp. 2506-2511. ISBN 978-1-4799-3840-7

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Abstract

In physiological control there is a need to esti- mate signals that cannot be measured directly. Burdened by measurement noise and unknown disturbances this proves to be challenging, since the models are usually highly nonlinear. Sigma- point filters could represent an adequate choice to overcome this problem. The paper investigates the applicability of several different versions of sigma-point filters for the Artificial Pancreas problem on the widely used Cambridge (Hovorka)-model.

Item Type: Book Section
Subjects: Q Science / természettudomány > Q1 Science (General) / természettudomány általában
SWORD Depositor: MTMT SWORD
Depositing User: MTMT SWORD
Date Deposited: 22 Dec 2014 16:16
Last Modified: 15 Dec 2015 13:02
URI: http://real.mtak.hu/id/eprint/19648

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