Pablo Abuin, J. Sereno, A. Ferramosca, A. González
{"title":"Closed-loop MPC-based artificial pancreas: Handling circadian variability of insulin sensitivity","authors":"Pablo Abuin, J. Sereno, A. Ferramosca, A. González","doi":"10.23919/AADECA49780.2020.9301636","DOIUrl":null,"url":null,"abstract":"Closed-loop glycemic control algorithms have demonstrated the ability to improve glucose regulation in patients with type 1 diabetes mellitus (T1DM), both in silico and clinical research trials. However, many of the proposed control strategies have been developed under time-invariant linear models, without considering the well-know intraday parametric variability. In this work, a recently published pulsatile Zone Model Predictive Control (pZMPC) is analyzed under a real observed pattern of intraday insulin sensitivity (SI), according to the latest updates of the FDA-approved UVA/Padova simulator. To this end, nominal information of the postprandial insulin sensitivity is explicitly included in the control-oriented model to be taken into account in the predictions. The proposed control strategy is evaluated in silico under the FDA-approved UVA/Padova simulator, the performance analysis is done using statistical metrics and it is compared with the invariant version of the aforementioned controller. Results show a significant improvement in the analyzed metrics when the time-variant control-oriented model is considered in the predictions, which justifies the proposed increment in the controller complexity.","PeriodicalId":127488,"journal":{"name":"2020 Argentine Conference on Automatic Control (AADECA)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Argentine Conference on Automatic Control (AADECA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/AADECA49780.2020.9301636","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
Closed-loop glycemic control algorithms have demonstrated the ability to improve glucose regulation in patients with type 1 diabetes mellitus (T1DM), both in silico and clinical research trials. However, many of the proposed control strategies have been developed under time-invariant linear models, without considering the well-know intraday parametric variability. In this work, a recently published pulsatile Zone Model Predictive Control (pZMPC) is analyzed under a real observed pattern of intraday insulin sensitivity (SI), according to the latest updates of the FDA-approved UVA/Padova simulator. To this end, nominal information of the postprandial insulin sensitivity is explicitly included in the control-oriented model to be taken into account in the predictions. The proposed control strategy is evaluated in silico under the FDA-approved UVA/Padova simulator, the performance analysis is done using statistical metrics and it is compared with the invariant version of the aforementioned controller. Results show a significant improvement in the analyzed metrics when the time-variant control-oriented model is considered in the predictions, which justifies the proposed increment in the controller complexity.