DocumentCode
3198850
Title
The significance of LPV modeling of a widely used T1DM model
Author
Szalay, Peter ; Eigner, Gyorgy ; Kozlovszky, Miklos ; Rudas, Imre ; Kovacs, Levente
Author_Institution
Dept. of Control Eng. & Inf. Technol., Budapest Univ. of Technol. & Econ., Budapest, Hungary
fYear
2013
fDate
3-7 July 2013
Firstpage
3531
Lastpage
3534
Abstract
The paper investigates the specificity of Linear Parameter Varying (LPV) modeling and robust controller design on a widely used Type 1 Diabetes Mellitus model. LPV systems can be seen as an extension of linear time invariant systems, which allows us to extend some powerful control methodologies to the highly nonlinear and uncertain models of the human metabolism. Different LPV models are proposed with their own advantages and disadvantages. The possible choices are separately analyzed for both controller and observer design perspective.
Keywords
control system synthesis; diseases; medical control systems; nonlinear control systems; robust control; uncertain systems; LPV modeling; T1DM model; Type 1 diabetes mellitus model; human metabolism; linear parameter varying modeling; linear time invariant systems; robust controller design; Blood; Diabetes; Insulin; Pancreas; Robustness; Sugar;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location
Osaka
ISSN
1557-170X
Type
conf
DOI
10.1109/EMBC.2013.6610304
Filename
6610304
Link To Document