Direct Continuous Time System Identification of MISO Transfer Function Models applied to Type 1 Diabetes

Proceedings of the 50th IEEE Conference on Decision and Control, 2011
Author(s):Kirchsteiger H., Pölzer S., Johansson R., Renard E., del Re L.
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.
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