Subspace-Based Model Identification of Diabetic Blood Glucose Dynamics
(2009) 15th IFAC Symposium on System Identification In IFAC Proceedings Volumes 42(10). p.233-238- Abstract
- The paper describes an on-line identification algorithm to estimate the steam production of a municipal solid waste incinerator. The algorithm has to learn on-line the system dynamics due to the heavy disturbances acting on the incineration process. The learning algorithm is based on radial basis function networks and combines the growth criterion of the resource allocating network technique with an adaptive extended Kalman filter to update all the parameters of the networks.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/104be4de-431c-4588-b263-4fb7669dc63a
- author
- Cescon, Marzia LU ; Ståhl, Fredrik LU ; Landin-Olsson, Mona LU and Johansson, Rolf LU
- organization
- publishing date
- 2009
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Blood Glucose Dynamics, Diabetes, Subspace-based Model Identification
- in
- IFAC Proceedings Volumes
- volume
- 42
- issue
- 10
- pages
- 6 pages
- publisher
- Elsevier
- conference name
- 15th IFAC Symposium on System Identification
- conference location
- Saint-Malo, France
- conference dates
- 2009-06-06 - 2009-06-08
- external identifiers
-
- scopus:80051608308
- DOI
- 10.3182/20090706-3-FR-2004.00039
- project
- DIAdvisor
- language
- English
- LU publication?
- yes
- id
- 104be4de-431c-4588-b263-4fb7669dc63a
- date added to LUP
- 2022-06-21 11:57:59
- date last changed
- 2024-10-04 05:30:42
@article{104be4de-431c-4588-b263-4fb7669dc63a, abstract = {{The paper describes an on-line identification algorithm to estimate the steam production of a municipal solid waste incinerator. The algorithm has to learn on-line the system dynamics due to the heavy disturbances acting on the incineration process. The learning algorithm is based on radial basis function networks and combines the growth criterion of the resource allocating network technique with an adaptive extended Kalman filter to update all the parameters of the networks.}}, author = {{Cescon, Marzia and Ståhl, Fredrik and Landin-Olsson, Mona and Johansson, Rolf}}, keywords = {{Blood Glucose Dynamics; Diabetes; Subspace-based Model Identification}}, language = {{eng}}, number = {{10}}, pages = {{233--238}}, publisher = {{Elsevier}}, series = {{IFAC Proceedings Volumes}}, title = {{Subspace-Based Model Identification of Diabetic Blood Glucose Dynamics}}, url = {{http://dx.doi.org/10.3182/20090706-3-FR-2004.00039}}, doi = {{10.3182/20090706-3-FR-2004.00039}}, volume = {{42}}, year = {{2009}}, }