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
|
Text
1821_Szalay_SMC.pdf Download (1MB) | Preview |
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 |
Actions (login required)
![]() |
Edit Item |