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 :
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