Identification of individualised empirical models of carbohydrate and insulin effects on T1DM blood glucose dynamics
From MaRDI portal
Publication:5499760
DOI10.1080/00207179.2014.883171zbMath1317.93032OpenAlexW1983627606MaRDI QIDQ5499760
Marzia Cescon, Alberto Maran, Eric Renard, Rolf Johansson
Publication date: 31 July 2015
Published in: International Journal of Control (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00207179.2014.883171
Lua error in Module:PublicationMSCList at line 37: attempt to index local 'msc_result' (a nil value).
Cites Work
- Unnamed Item
- Zeros of sampled systems
- Diabetes mellitus modeling and short-term prediction based on blood glucose measurements
- Consistency analysis of subspace identification methods based on a linear regression approach
- Consistency analysis of some closed-loop subspace identification methods
- The role of vector autoregressive modeling in predictor-based subspace identification
- Stochastic theory of continuous-time state-space identification
- On the Asymptotic Properties of Closed-Loop CCA-Type Subspace Algorithms: Equivalence Results and Role of the Future Horizon
This page was built for publication: Identification of individualised empirical models of carbohydrate and insulin effects on T1DM blood glucose dynamics