Name
Title | ||
|---|---|---|
Direct Continuous Time System Identification Of Miso Transfer Function Models Applied To Type 1 Diabetes |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/CDC.2011.6161344 | 2011 50TH IEEE CONFERENCE ON DECISION AND CONTROL AND EUROPEAN CONTROL CONFERENCE (CDC-ECC) |
Keywords | Field | DocType |
polynomials,transfer functions,data models,data model,parameter estimation,iterative methods,diabetes,insulin,transfer function,haemodynamics | Data modeling,Mean squared prediction error,Mathematical optimization,Polynomial,Control theory,Iterative method,Computer science,Continuous time system,Transfer function,Estimation theory,Fraction (mathematics) | Conference |
ISSN | Citations | PageRank |
0743-1546 | 6 | 0.63 |
References | Authors | |
3 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Harald Kirchsteiger | 1 | 33 | 5.62 |
| Stephan Polzer | 2 | 8 | 3.03 |
| Rolf Johansson | 3 | 349 | 62.68 |
| Eric Renard | 4 | 22 | 2.83 |
| Luigi del Re | 5 | 131 | 31.55 |