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

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Author

  • Harald Kirchsteiger
  • Stephan Pölzer
  • Rolf Johansson
  • Eric Renard
  • Luigi del Re

Summary, in English

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.

Publishing year

2011

Language

English

Pages

5176-5181

Publication/Series

Proc. 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC-2011)

Document type

Conference paper

Topic

  • Control Engineering

Conference name

50th IEEE Conference on Decision and Control and European Control Conference, 2011

Conference date

2011-12-12 - 2011-12-15

Conference place

Orlando, Florida, United States

Status

Published

Project

  • DIAdvisor

Research group

  • LCCC