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Continuous-time interval model identification of blood glucose dynamics for type 1 diabetes

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Publication:5499762
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DOI10.1080/00207179.2014.897004zbMath1317.93037OpenAlexW1990863429MaRDI QIDQ5499762

Luigi Del Re, Rolf Johansson, Eric Renard, Harald Kirchsteiger

Publication date: 31 July 2015

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207179.2014.897004


zbMATH Keywords

identificationbiomedical systemsinterval modeltype 1 diabetes


Mathematics Subject Classification ID

Medical applications (general) (92C50) Identification in stochastic control theory (93E12)


Related Items

Direct continuous-time approaches to system identification. Overview and benefits for practical applications



Cites Work

  • Unnamed Item
  • Maximum likelihood estimation in nonlinear mixed effects models
  • Identification and application of bounded-parameter models
  • Robust model predictive control of constrained linear systems with bounded disturbances
  • A meta-learning approach to the regularized learning -- case study: blood glucose prediction
  • Management of diabetes using adaptive control
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