ArticleIEEE transactions on bio-medical engineering2019
Adaptive Zone Model Predictive Control of Artificial Pancreas Based on Glucose- and Velocity-Dependent Control Penalties.
Article in IEEE transactions on bio-medical engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed, 88 citations in OpenAlex.
- Neural-Net Artificial Pancreas: A Randomized Crossover Trial of a First-in-Class Automated Insulin Delivery Algorithm.Diabetes technology & therapeutics · 2024Trial
- Study of insulin infusion in diabetic rats with an ultra-low-cost insulin pump for managing blood glucose levels.Journal of diabetes investigation · 2025Article
- Research Gaps, Challenges, and Opportunities in Automated Insulin Delivery Systems.Journal of diabetes science and technology · 2025Review
- Research Gaps, Challenges, and Opportunities in Automated Insulin Delivery Systems.Diabetes technology & therapeutics · 2025Review
- Validation in diabetic rats of a fully automated insulin delivery system based on impulsive offset-free MPC control.PloS one · 2025Article
- Recent advances in the precision control strategy of artificial pancreas.Medical & biological engineering & computing · 2024Review
- Automated blood glucose regulation for nonlinear model of type-1 diabetic patient under uncertainties: GWOCS type-2 fuzzy approach.Biomedical engineering letters · 2024Article
- Developing the UVA/Padova Type 1 Diabetes Simulator: Modeling, Validation, Refinements, and Utility.Journal of diabetes science and technology · 2023Review
- Glucose Rate-of-Change and Insulin-on-Board Jointly Weighted Zone Model Predictive Control.IEEE transactions on control systems technology : a publication of the IEEE Control Systems Society · 2023Article
- Minimal and Maximal Models to Quantitate Glucose Metabolism: Tools to Measure, to Simulate and to Run in Silico Clinical Trials.Journal of diabetes science and technology · 2022Article
- Control of blood glucose induced by meals for type-1 diabetics using an adaptive backstepping algorithm.Scientific reports · 2022Article
- Interval Safety Layer Coupled With an Impulsive MPC for Artificial Pancreas to Handle Intrapatient Variability.Frontiers in endocrinology · 2022Article
- Intelligent automated drug administration and therapy: future of healthcare.Drug delivery and translational research · 2021Review
- Zone-MPC Automated Insulin Delivery Algorithm Tuned for Pregnancy Complicated by Type 1 Diabetes.Frontiers in endocrinology · 2021Article
- Performance Analysis of Different Embedded Systems and Open-Source Optimization Packages Towards an Impulsive MPC Artificial Pancreas.Frontiers in endocrinology · 2021Article
- Automatic glycemic regulation for the pediatric population based on switched control and time-varying IOB constraints: an in silico study.Medical & biological engineering & computing · 2020Article
- Controlling the AP Controller: Controller Performance Assessment and Modification.Journal of diabetes science and technology · 2019Article
- Artificial Pancreas: Evaluating the ARG Algorithm Without Meal Announcement.Journal of diabetes science and technology · 2019Article
- A Hybrid Dynamic Wavelet-Based Modeling Method for Blood Glucose Concentration Prediction in Type 1 Diabetes.Journal of medical signals and sensorsArticle
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
objectiveZone model predictive control (MPC) has been proven to be an efficient approach to closed-loop insulin delivery in clinical studies. In this paper, we aim to safely reduce mean glucose levels by proposing control penalty adaptation in the cost function of zone MPC.
methodsA zone MPC method with a dynamic cost function that updates its control penalty parameters in real time according to the predicted glucose and its rate of change is developed. The proposed method is evaluated on the entire 100-adult cohort of the FDA-accepted UVA/Padova T1DM simulator and compared with the zone MPC tested in an extended outpatient study.
resultsFor unannounced meals, the proposed method leads to statistically significant improvements in terms of mean glucose (153.8 mg/dL vs. 159.0 mg/dL; ) and percentage time in [70, 180] mg/dL ([Formula: see text] vs. [Formula: see text]; ) without increasing the risk of hypoglycemia. Performance for announced meals is similar to that obtained without adaptation. The proposed method also behaves properly and safely for scenarios of moderate meal-bolus and basal rate mismatches, as well as simulated unannounced exercise. Advisory-mode analysis based on clinical data indicates that the method can reduce glucose levels through suggesting additional safe amounts of insulin on top of those suggested by the zone MPC used in the study.
conclusionThe proposed method leads to improved glucose control without increasing hypoglycemia risks. SIGNIFICANCE: The results validate the feasibility of improving glucose regulation through glucose- and velocity-dependent control penalty adaptation in MPC design.
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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.