Journal ArticleDOI
An augmented subcutaneous type 1 diabetic patient modelling and design of adaptive glucose control
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TLDR
An augmented subcutaneous model of type 1 diabetic patients (T1DP) is proposed first by estimating the model parameters with the aid of nonlinear least square method using the physiological data and a nonlinear adaptive controller is proposed to tackle two important issues of intra-patient variability and uncertain meal disturbance.About:
This article is published in Journal of Process Control.The article was published on 2020-02-01. It has received 26 citations till now. The article focuses on the topics: Adaptive control & Artificial pancreas.read more
Citations
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Journal ArticleDOI
Artificial Pancreas Control Strategies Used for Type 1 Diabetes Control and Treatment: A Comprehensive Analysis
TL;DR: This paper presents a comprehensive survey about the fundamental components of the artificial pancreas (AP) system including insulin administration and delivery, glucose measurement (GM), and control strategies/algorithms used for type 1 diabetes mellitus (T1DM) treatment and control.
Journal ArticleDOI
Robust observer-based adaptive control of blood glucose in diabetic patients
TL;DR: A robust observer-based adaptive controller for an intravenous glucose tolerance test (IVGTT) model of Type 1 Diabetes Mellitus (T1DM) patients is designed, combining robustness and adaptive philosophy for the first time.
Journal ArticleDOI
Design of continuous-time model reference adaptive and super-twisting sliding mode controller
Guilherme Vieira Hollweg,Paulo Jefferson Dias de Oliveira Evald,Deise Maria Cirolini Milbradt,Rodrigo V. Tambara,Hilton Abílio Gründling +4 more
TL;DR: In this article , a continuous-time robust model reference adaptive and super-twisting sliding mode controller and its stability analysis by means of Lyapunov stability theory is presented, considering the overall plant, that is, in presence of matched and unmatched dynamics.
Journal ArticleDOI
Modeling and Control of Robotic Manipulators: A Fractional Calculus Point of View
TL;DR: It is found that the control law suggested by PP method improves the settling time of the robotic manipulators.
Book ChapterDOI
Prediction and classification of diabetes mellitus using genomic data
Joseph Bamidele Awotunde,Femi Emmanuel Ayo,Rasheed Gbenga Jimoh,Roseline Oluwaseun Ogundokun,Opeyemi Emmanuel Matiluko,Idowu Dauda Oladipo,Muyideen Abdulraheem +6 more
TL;DR: In this paper, the authors used genetic algorithm (GA) and deep neural networks (DNN) to predict type II diabetes using genomic-based data, where simulated genomics datasets were divided into 95% training and 5% test samples and the DNN classifier is modified using these sets of SNPs and fine-tuned to classify type II DM analyses.
References
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Journal ArticleDOI
An Interior Trust Region Approach for Nonlinear Minimization Subject to Bounds
Thomas F. Coleman,Yuying Li +1 more
TL;DR: In this paper, a trust region approach for minimizing nonlinear functions subject to simple bounds is proposed, where the trust region is defined by minimizing a quadratic function subject only to an ellipsoidal constraint and the iterates generated by these methods are always strictly feasible.
Journal ArticleDOI
Nonlinear model predictive control of glucose concentration in subjects with type 1 diabetes
Roman Hovorka,Valentina Canonico,Ludovic J. Chassin,Ulrich Haueter,Massimo Massi-Benedetti,Marco Orsini Federici,Thomas R. Pieber,Helga C. Schaller,Lukas Schaupp,Thomas Vering,Malgorzata E. Wilinska +10 more
TL;DR: Adapt nonlinear model predictive control is promising for the control of glucose concentration during fasting conditions in subjects with type 1 diabetes.
Journal ArticleDOI
Meal Simulation Model of the Glucose-Insulin System
TL;DR: A new simulation model in normal humans that describes the physiological events that occur after a meal, by employing the quantitative knowledge that has become available in recent years, is presented.
Optimization Toolbox User's Guide
TL;DR: The software described in this document is furnished under a license agreement and the rights of the Government regarding its use, reproduction and disclosure are as set forth in Clause 52.227-19(c)(2) of the FAR.
Journal ArticleDOI
The UVA/PADOVA Type 1 Diabetes Simulator New Features
Chiara Dalla Man,Francesco Micheletto,Dayu Lv,Marc D. Breton,Boris Kovatchev,Claudio Cobelli +5 more
TL;DR: A new version of the UVA/PADOVA Type 1 Diabetes Simulator, which was submitted to FDA in 2013, provides a more reliable framework for in silico trials, for testing glucose sensors and insulin augmented pump prediction methods, and for closed-loop single/dual hormone controller design, testing, and validation.