Evidence map›Paper›PMID 33444475›Full record

ArticleIET systems biology2019

Robust observer based control for plasma glucose regulation in type 1 diabetes patient using attractive ellipsoid method.

Anirudh Nath, Rajeeb Dey

Open access · hybridAbstract read
In one paragraph

Article in IET systems biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
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  3. ChatteringIET systems biology · 2020
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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

2 authors at 1 institution in 1 country.

Anirudh NathElectrical Engineering Department, National Institute of Technology, Silchar, Assam, 788010, India.
Rajeeb DeyElectrical Engineering Department, National Institute of Technology, Silchar, Assam, 788010, India.
National Institute Of Technology Silchar · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper deals with the design of robust observer based output feedback control law for the stabilisation of an uncertain nonlinear system and subsequently apply the developed method for the regulation of plasma glucose concentration in Type 1 diabetes (T1D) patients. The principal objective behind the proposed design is to deal with the issues of intra-patient parametric variation and non-availability of all state variables for measurement. The proposed control technique for the T1D patient model is based on the attractive ellipsoid method (AEM). The observer and controller conditions are obtained in terms of linear matrix inequality (LMI), thus allowing to compute easily both the observer and controller gains. The closed-loop response obtained using the designed controller avoids adverse situations of hypoglycemia and post-prandial hyperglycemia under uncertain conditions. Further to validate the robustness of the design, closed-loop simulations of random 200 virtual T1D patients considering parameters within the considered ranges are presented. The results indicate that hypoglycemia and post-prandial hyperglycemia are significantly reduced in the presence of bounded (

Indexed as

attractive ellipsoid methodclosed-loop responseclosed-loop simulationsclosed loop systemscontroller conditionscontroller gainscontrol system synthesiscontrol techniquedesigned controllerdiseasesfeedbackintra-patient parametric variationlinear matrix inequalitieslinear matrix inequalitymedical control systemsnonlinear control systemsobserversplasma glucose concentrationplasma glucose regulationpost-prandial hyperglycemiaprincipal objectiverobust controlrobust observer based output feedback control lawsugarT1D patient modeltype 1 diabetes patientsuncertain conditionsuncertain nonlinear systemuncertain systemsvirtual T1D patients

Identifiers

PMID33444475
PMCPMC8687389
OpenAlexW2905987176

What OpenQuestion holds

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Registered trials

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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.