Direct Continuous Time System Identification of MISO Transfer Function Models applied to Type 1 Diabetes
Sprache des Titels:
Proceedings of the 50th IEEE Conference on Decision and Control
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.