Literature DB >> 24183071

Analysis of three T1DM simulation models for evaluating robust closed-loop controllers.

P Colmegna1, R S Sánchez Peña.   

Abstract

This work compares three well-known models and simulators in terms of their use in the analysis and design of glucose controllers for patients with Type 1 Diabetes Mellitus (T1DM). The objective is to compare them in practical scenarios which include: model uncertainty, time variance, nonlinearities, glucose measurement noise, delays between subcutaneous and plasma levels, pump saturation, and real-time controller implementation. The pros and cons of all models/simulators are presented. Finally, the simulators are tested with different robust controllers in order to identify the difficulties in the design and implementation phases. To this end, three sources of uncertainty are considered: nonlinearities, time-varying behavior (intra-patient) and inter-patient differences.
Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Diabetes control; Diabetes mellitus simulators; Robust control

Mesh:

Substances:

Year:  2013        PMID: 24183071     DOI: 10.1016/j.cmpb.2013.09.020

Source DB:  PubMed          Journal:  Comput Methods Programs Biomed        ISSN: 0169-2607            Impact factor:   5.428


  6 in total

1.  Control Limitations in Models of T1DM and the Robustness of Optimal Insulin Delivery.

Authors:  Christopher Townsend; Maria M Seron; Graham C Goodwin; Bruce R King
Journal:  J Diabetes Sci Technol       Date:  2018-07-31

2.  Switched LPV Glucose Control in Type 1 Diabetes.

Authors:  Patricio H Colmegna; Ricardo S Sanchez-Pena; Ravi Gondhalekar; Eyal Dassau; Frank J Doyle
Journal:  IEEE Trans Biomed Eng       Date:  2015-10-05       Impact factor: 4.538

3.  Tackling problem nonlinearities & delays via asymmetric, state-dependent objective costs in MPC of an artificial pancreas.

Authors:  Ravi Gondhalekar; Eyal Dassau; Francis J Doyle
Journal:  Proc IFAC World Congress       Date:  2015-12-17

4.  Parameter estimation of a meal glucose-insulin model for TIDM patients from therapy historical data.

Authors:  Oscar D Sánchez; Eduardo Ruiz-Velázquez; Alma Y Alanís; Griselda Quiroz; Luis Torres-Treviño
Journal:  IET Syst Biol       Date:  2019-02       Impact factor: 1.615

5.  A Methodology to Compare Insulin Dosing Recommendations in Real-Life Settings.

Authors:  Danielle Groat; Maria A Grando; Bithika Thompson; Pedro Neto; Hiral Soni; Mary E Boyle; Marilyn Bailey; Curtiss B Cook
Journal:  J Diabetes Sci Technol       Date:  2017-04-13

6.  Blood glucose regulation and control of insulin and glucagon infusion using single model predictive control for type 1 diabetes mellitus.

Authors:  Cifha Crecil Dias; Surekha Kamath; Sudha Vidyasagar
Journal:  IET Syst Biol       Date:  2020-06       Impact factor: 1.615

  6 in total

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