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Sliding‐mode‐based controllers for automation of blood glucose concentration for type 1 diabetes
Destruction of β‐cells in pancreas causes deficiency in insulin production that leads to diabetes in the human body. To cope with this problem, insulin is either taken orally during the day or injected into the patient's body using artificial pancreas (AP) during sleeping hours. Some mathematic...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675841/ https://www.ncbi.nlm.nih.gov/pubmed/33780148 http://dx.doi.org/10.1049/syb2.12015 |
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author | Babar, Sheraz Ahmad Ahmad, Iftikhar Mughal, Iqra Shafeeq |
author_facet | Babar, Sheraz Ahmad Ahmad, Iftikhar Mughal, Iqra Shafeeq |
author_sort | Babar, Sheraz Ahmad |
collection | PubMed |
description | Destruction of β‐cells in pancreas causes deficiency in insulin production that leads to diabetes in the human body. To cope with this problem, insulin is either taken orally during the day or injected into the patient's body using artificial pancreas (AP) during sleeping hours. Some mathematical models indicate that AP uses control algorithms to regulate blood glucose concentration (BGC). The extended Bergman minimal model (EBMM) incorporates, as a state variable, the disturbance in insulin level during medication due to either meal intake or burning sugar by engaging in physical exercise. In this research work, EBMM and proposed finite time robust controllers are used, including the sliding mode controller (SMC), backstepping SMC (BSMC) and supertwisting SMC (second‐order SMC or SOSMC) for automatic stabilisation of BGC in type 1 diabetic patients. The proposed SOSMC diminishes the chattering phenomenon which appears in the conventional SMC. The proposed BSMC is a recursive technique which becomes robust by the addition of the SMC. Lyapunov theory has been used to prove the asymptotic stability of the proposed controllers. Simulations have been carried out in MATLAB/Simulink for the comparative study of the proposed controllers under varying data of six different type 1 diabetic patients available in the literature. |
format | Online Article Text |
id | pubmed-8675841 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86758412022-02-16 Sliding‐mode‐based controllers for automation of blood glucose concentration for type 1 diabetes Babar, Sheraz Ahmad Ahmad, Iftikhar Mughal, Iqra Shafeeq IET Syst Biol Original Research Papers Destruction of β‐cells in pancreas causes deficiency in insulin production that leads to diabetes in the human body. To cope with this problem, insulin is either taken orally during the day or injected into the patient's body using artificial pancreas (AP) during sleeping hours. Some mathematical models indicate that AP uses control algorithms to regulate blood glucose concentration (BGC). The extended Bergman minimal model (EBMM) incorporates, as a state variable, the disturbance in insulin level during medication due to either meal intake or burning sugar by engaging in physical exercise. In this research work, EBMM and proposed finite time robust controllers are used, including the sliding mode controller (SMC), backstepping SMC (BSMC) and supertwisting SMC (second‐order SMC or SOSMC) for automatic stabilisation of BGC in type 1 diabetic patients. The proposed SOSMC diminishes the chattering phenomenon which appears in the conventional SMC. The proposed BSMC is a recursive technique which becomes robust by the addition of the SMC. Lyapunov theory has been used to prove the asymptotic stability of the proposed controllers. Simulations have been carried out in MATLAB/Simulink for the comparative study of the proposed controllers under varying data of six different type 1 diabetic patients available in the literature. John Wiley and Sons Inc. 2021-03-29 /pmc/articles/PMC8675841/ /pubmed/33780148 http://dx.doi.org/10.1049/syb2.12015 Text en © 2021 The Authors. IET Systems Biology published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Research Papers Babar, Sheraz Ahmad Ahmad, Iftikhar Mughal, Iqra Shafeeq Sliding‐mode‐based controllers for automation of blood glucose concentration for type 1 diabetes |
title | Sliding‐mode‐based controllers for automation of blood glucose concentration for type 1 diabetes |
title_full | Sliding‐mode‐based controllers for automation of blood glucose concentration for type 1 diabetes |
title_fullStr | Sliding‐mode‐based controllers for automation of blood glucose concentration for type 1 diabetes |
title_full_unstemmed | Sliding‐mode‐based controllers for automation of blood glucose concentration for type 1 diabetes |
title_short | Sliding‐mode‐based controllers for automation of blood glucose concentration for type 1 diabetes |
title_sort | sliding‐mode‐based controllers for automation of blood glucose concentration for type 1 diabetes |
topic | Original Research Papers |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8675841/ https://www.ncbi.nlm.nih.gov/pubmed/33780148 http://dx.doi.org/10.1049/syb2.12015 |
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