TY - GEN
T1 - Frequency domain analysis of nonlinear glucose simulation models
AU - Abu-Rmileh, Amjad
AU - Schoukens, Johan
N1 - Funding Information:
★This work was supported in part by the University of Girona research grant (BR-UdG) to the first author, in part by the Fund for Scientific Research (FWO-Vlaanderen), in part by the Flemish Government (Methusalem METH1), and in part by the Belgian Federal Government (IUAP VI/4).
PY - 2012/1/1
Y1 - 2012/1/1
N2 - Simulation models are frequently used in the development of the artificial pancreas for patients with diabetes. In this paper, frequency domain measurement techniques are used to perform a comparative analysis of widely used nonlinear simulation models of the glucose regulation system in type 1 diabetes. The analysis highlights the main differences between the models under study, based on a nonparametric estimate of their frequency response functions. The underlying linear dynamics, the nature and level of model nonlinearity, and the effect of nonlinear behavior on linear modeling are used as comparison criteria. The analysis shows that, a better understanding of the behavior of such nonlinear systems and the limitations of their linear approximates provides the means to a more careful use in simulations and control design.
AB - Simulation models are frequently used in the development of the artificial pancreas for patients with diabetes. In this paper, frequency domain measurement techniques are used to perform a comparative analysis of widely used nonlinear simulation models of the glucose regulation system in type 1 diabetes. The analysis highlights the main differences between the models under study, based on a nonparametric estimate of their frequency response functions. The underlying linear dynamics, the nature and level of model nonlinearity, and the effect of nonlinear behavior on linear modeling are used as comparison criteria. The analysis shows that, a better understanding of the behavior of such nonlinear systems and the limitations of their linear approximates provides the means to a more careful use in simulations and control design.
KW - Artificial pancreas
KW - Best linear approximation
KW - Frequency domain
KW - Nonlinear distortion
KW - Type 1 diabetes
UR - http://www.scopus.com/inward/record.url?scp=84881054551&partnerID=8YFLogxK
U2 - 10.3182/20120829-3-HU-2029.00041
DO - 10.3182/20120829-3-HU-2029.00041
M3 - Conference contribution
AN - SCOPUS:84881054551
SN - 9783902823106
T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)
SP - 28
EP - 33
BT - Proceedings of the 8th IFAC Symposium on Biological and Medical Systems, BMS 2012
PB - IFAC Secretariat
T2 - 8th IFAC Symposium on Biological and Medical Systems, BMS 2012
Y2 - 29 August 2012 through 31 August 2012
ER -
