Literature DB >> 18334377

An improved PID switching control strategy for type 1 diabetes.

Gianni Marchetti1, Massimiliano Barolo, Lois Jovanovic, Howard Zisser, Dale E Seborg.   

Abstract

In order for an "artificial pancreas" to become a reality for ambulatory use, a practical closed-loop control strategy must be developed and validated. In this paper, an improved PID control strategy for blood glucose control is proposed and critically evaluated in silico using a physiologic model of Hovorka et al. [1]. The key features of the proposed control strategy are: 1) a switching strategy for initiating PID control after a meal and insulin bolus; 2) a novel time-varying setpoint trajectory; 3) noise and derivative filters to reduce sensitivity to sensor noise; and 4) a practical controller tuning strategy. Simulation results demonstrate that proposed control strategy compares favorably to alternatives for realistic conditions that include meal challenges, incorrect carbohydrate meal estimates, changes in insulin sensitivity, and measurement noise.

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Year:  2008        PMID: 18334377     DOI: 10.1109/TBME.2008.915665

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  33 in total

1.  In silico evaluation of an artificial pancreas combining exogenous ultrafast-acting technosphere insulin with zone model predictive control.

Authors:  Justin J Lee; Eyal Dassau; Howard Zisser; Rebecca A Harvey; Lois Jovanovič; Francis J Doyle
Journal:  J Diabetes Sci Technol       Date:  2013-01-01

Review 2.  A Review of Emerging Technologies for the Management of Diabetes Mellitus.

Authors:  Konstantia Zarkogianni; Eleni Litsa; Konstantinos Mitsis; Po-Yen Wu; Chanchala D Kaddi; Chih-Wen Cheng; May D Wang; Konstantina S Nikita
Journal:  IEEE Trans Biomed Eng       Date:  2015-08-19       Impact factor: 4.538

3.  Artificial pancreas: model predictive control design from clinical experience.

Authors:  Chiara Toffanin; Mirko Messori; Federico Di Palma; Giuseppe De Nicolao; Claudio Cobelli; Lalo Magni
Journal:  J Diabetes Sci Technol       Date:  2013-11-01

4.  Economic Model Predictive Control of Bihormonal Artificial Pancreas System Based on Switching Control and Dynamic R-parameter.

Authors:  Fengna Tang; Youqing Wang
Journal:  J Diabetes Sci Technol       Date:  2017-07-21

5.  Plasma-Insulin-Cognizant Adaptive Model Predictive Control for Artificial Pancreas Systems.

Authors:  Iman Hajizadeh; Mudassir Rashid; Ali Cinar
Journal:  J Process Control       Date:  2019-04-10       Impact factor: 3.666

6.  Optimal design of clinical tests for the identification of physiological models of type 1 diabetes in the presence of model mismatch.

Authors:  Federico Galvanin; Massimiliano Barolo; Sandro Macchietto; Fabrizio Bezzo
Journal:  Med Biol Eng Comput       Date:  2010-11-30       Impact factor: 2.602

7.  Diabetes: Models, Signals, and Control.

Authors:  Claudio Cobelli; Chiara Dalla Man; Giovanni Sparacino; Lalo Magni; Giuseppe De Nicolao; Boris P Kovatchev
Journal:  IEEE Rev Biomed Eng       Date:  2009-01-01

8.  A comprehensive compartmental model of blood glucose regulation for healthy and type 2 diabetic subjects.

Authors:  O Vahidi; K E Kwok; R B Gopaluni; F K Knop
Journal:  Med Biol Eng Comput       Date:  2015-10-22       Impact factor: 2.602

Review 9.  Recent progress in mechanical artificial pancreas.

Authors:  Masami Hoshino; Yoshikura Haraguchi; Iwanori Mizushima; Motohiro Sakai
Journal:  J Artif Organs       Date:  2009-09-19       Impact factor: 1.731

10.  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

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