Evidence map›Paper›PMID 33095743›Full record

ArticleIET systems biology2020

Sliding mode control for a fractional-order non-linear glucose-insulin system.

Muhammad Waleed Khan, Muhammad Abid, Abdul Qayyum Khan, Ghulam Mustafa, Muzamil Ali, Asifullah Khan

Open access · greenAbstract read
In one paragraph

Article in IET systems biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.5field-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

0 citing papers in PubMed, 15 citations in OpenAlex.

No citing paper in PubMed yet.

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

6 authors at 2 institutions in 1 country.

Muhammad Waleed KhanPIEAS Artificial Intelligence Center (PAIC), Islamabad, Pakistan. eng.mwkhan@gmail.com.
Muhammad AbidDepartment of Electrical Engineering, Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan.
Abdul Qayyum KhanDepartment of Electrical Engineering, Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan.
Ghulam MustafaDepartment of Electrical Engineering, Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan.
Muzamil AliDepartment of Mechanical Engineering, Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan.
Asifullah KhanPIEAS Artificial Intelligence Center (PAIC), Islamabad, Pakistan.
Pakistan Atomic Energy Commission · PKPakistan Institute of Engineering and Applied Sciences · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

By providing the generalisation of integration and differentiation, and incorporating the memory and hereditary effects, fractional-order modelling has gotten significant attention in the past few years. One of the extensively studied and utilised models to describe the glucose-insulin system of a human body is Bergman's minimal model. This non-linear model comprises of integer-order differential equations. However, comparison with the experimental data shows that the fractional-order version of Bergman's minimal model is a better representative of the glucose-insulin system than its original integer-order model. To design a control law for an artificial pancreas for a diabetic patient using a fractional-order model, different techniques, including feedback linearisation, have been applied in the literature. The authors' previous work shows that the fractional-order version of Bergman's model describes the glucose-insulin system in a better way than the integer-order model. This study applies the sliding mode control technique and then compares the obtained simulation results with the ones obtained using feedback linearisation.

Indexed as

Computer SimulationInsulinModels, BiologicalNonlinear DynamicsAlgorithmsBlood GlucoseGlucoseHumansPancreas, ArtificialBlood GlucoseGlucoseInsulin

Identifiers

PMID33095743
PMCPMC8687314
OpenAlexW3089647387

What OpenQuestion holds

Textmetadata
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.