Evidence map›Paper›PMID 30034017›Full record

ArticleAutomatica : the journal of IFAC, the International Federation of Automatic Control2018

Velocity-weighting & velocity-penalty MPC of an artificial pancreas: Improved safety & performance.

Ravi Gondhalekar, Eyal Dassau, Francis J Doyle

Open access · greenAbstract read
In one paragraph

Article in Automatica : the journal of IFAC, the International Federation of Automatic Control, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
10.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

16 citing papers in PubMed, 102 citations in OpenAlex.

  1. Trial
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  5. Review
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  7. Recent advances in the precision control strategy of artificial pancreas.Medical & biological engineering & computing · 2024
    Review
  8. Glucose Rate-of-Change and Insulin-on-Board Jointly Weighted Zone Model Predictive Control.IEEE transactions on control systems technology : a publication of the IEEE Control Systems Society · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
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  14. Embedded Model Predictive Control for a Wearable Artificial Pancreas.IEEE transactions on control systems technology : a publication of the IEEE Control Systems Society · 2020
    Article
  15. Article
  16. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Ravi GondhalekarHarvard John A. Paulson School of Engineering & Applied Sciences, Harvard University, Cambridge, MA, USA.
Eyal DassauHarvard John A. Paulson School of Engineering & Applied Sciences, Harvard University, Cambridge, MA, USA.
Francis J DoyleHarvard John A. Paulson School of Engineering & Applied Sciences, Harvard University, Cambridge, MA, USA.
Harvard University · US

Funding

Ambulatory Artificial Pancreas: merging physiology, behavior, and control designDP3DK094331 · NIDDK · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI BASU, ANANDA, DOYLE, FRANCIS J · 2011 to 2014
$4.6M
Closed-loop Artificial Pancreas: Algorithm Engineering and Clinical EvaluationR01DK085628 · NIDDK · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI DOYLE, FRANCIS J, JOVANOVIC, LOIS · 2009 to 2013
$3.4M
Pediatric Artificial Pancreas System for Enhanced Diabetes Management in Young Children with Type 1 DiabetesDP3DK104057 · NIDDK · UNIVERSITY OF CALIFORNIA SANTA BARBARA · PI DASSAU, EYAL, DOYLE, FRANCIS J · 2014 to 2014
$1.8M
NIDDK NIH HHS DP3 DK094331NIDDK NIH HHS DP3 DK104057NIDDK NIH HHS R01 DK085628
6 · The paper itself

Abstract

A novel Model Predictive Control (MPC) law for the closed-loop operation of an Artificial Pancreas (AP) to treat type 1 diabetes is proposed. The contribution of this paper is to simultaneously enhance both the safety and performance of an AP, by reducing the incidence of controller-induced hypoglycemia, and by promoting assertive hyperglycemia correction. This is achieved by integrating two MPC features separately introduced by the authors previously to independently improve the control performance with respect to these two coupled issues.

Indexed as

Artificial pancreasModel predictive controlNonlinear optimizationSafety-critical controlState-dependent costs

Identifiers

PMID30034017
PMCPMC6051553
OpenAlexW2789661385

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.