TY - GEN
T1 - Direct continuous time system identification of MISO transfer function models applied to type 1 diabetes
AU - Kirchsteiger, Harald
AU - Pölzer, Stephan
AU - Johansson, Rolf
AU - Renard, Eric
AU - Del Re, Luigi
PY - 2011
Y1 - 2011
N2 - This paper shows an application of continuous time system identification methods to Type 1 diabetes. First, a general MISO transfer function structure with individual nominator and denominator polynomials for each input is assumed and a parameter estimation procedure via an iterative prediction error method presented. Then, the proposed identification method is evaluated on a simple simulation example and finally applied on real-life data from Type 1 diabetes patients with the purpose of modeling blood glucose dynamics. To this aim, the method was extended to consider the time-varying nature of the system.
AB - This paper shows an application of continuous time system identification methods to Type 1 diabetes. First, a general MISO transfer function structure with individual nominator and denominator polynomials for each input is assumed and a parameter estimation procedure via an iterative prediction error method presented. Then, the proposed identification method is evaluated on a simple simulation example and finally applied on real-life data from Type 1 diabetes patients with the purpose of modeling blood glucose dynamics. To this aim, the method was extended to consider the time-varying nature of the system.
UR - http://www.scopus.com/inward/record.url?scp=84860681727&partnerID=8YFLogxK
U2 - 10.1109/CDC.2011.6161344
DO - 10.1109/CDC.2011.6161344
M3 - Conference contribution
AN - SCOPUS:84860681727
SN - 9781612848006
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 5176
EP - 5181
BT - 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
T2 - 2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011
Y2 - 12 December 2011 through 15 December 2011
ER -
