ArticleAutomatica : the journal of IFAC, the International Federation of Automatic Control2016
Periodic zone-MPC with asymmetric costs for outpatient-ready safety of an artificial pancreas to treat type 1 diabetes
Article in Automatica : the journal of IFAC, the International Federation of Automatic Control, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
What it found
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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.
The trial behind it
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Who cites it
34 citing papers in PubMed.
- A Randomized, Placebo-Controlled Double-Blind Trial of a Closed-Loop Glucagon System for Postbariatric Hypoglycemia.The Journal of clinical endocrinology and metabolism · 2020Trial
- Artificial Pancreas: Clinical Study in Latin America Without Premeal Insulin Boluses.Journal of diabetes science and technology · 2018Trial
- Real-Time Detection of Infusion Site Failures in a Closed-Loop Artificial Pancreas.Journal of diabetes science and technology · 2018Trial
- Twelve-Week 24/7 Ambulatory Artificial Pancreas With Weekly Adaptation of Insulin Delivery Settings: Effect on Hemoglobin ADiabetes care · 2017Trial
- Application of Zone Model Predictive Control Artificial Pancreas During Extended Use of Infusion Set and Sensor: A Randomized Crossover-Controlled Home-Use Trial.Diabetes care · 2017Trial
- Outpatient Closed-Loop Control with Unannounced Moderate Exercise in Adolescents Using Zone Model Predictive Control.Diabetes technology & therapeutics · 2017Trial
- Study of insulin infusion in diabetic rats with an ultra-low-cost insulin pump for managing blood glucose levels.Journal of diabetes investigation · 2025Article
- Model Predictive Control in mHealth: A Decision Framework for Optimised Personalised Physical Activity Interventions.International journal of control · 2025Article
- Cyber-Physical-Human Systems in Precision Medicine: Advances in Artificial Pancreas for Treatment of Diabetes.Annual reviews in control · 2025Article
- 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
- Adaptive Personalized Prior-Knowledge-Informed Model Predictive Control for Type 1 Diabetes.Control engineering practice · 2023Article
- Extended Kalman filter state estimation-based nonlinear explicit model predictive control design for blood glucose regulation of type 1 diabetic patient.Medical & biological engineering & computing · 2022Article
- Two Decades of Research in Artificial Pancreas: Insights from a Bibliometric Analysis.Journal of diabetes science and technology · 2022Article
- Fault Tolerant Strategies for Automated Insulin Delivery Considering the Human Component: Current and Future Perspectives.Journal of diabetes science and technology · 2021Review
- Zone-MPC Automated Insulin Delivery Algorithm Tuned for Pregnancy Complicated by Type 1 Diabetes.Frontiers in endocrinology · 2021Article
- Embedded Model Predictive Control for a Wearable Artificial Pancreas.IEEE transactions on control systems technology : a publication of the IEEE Control Systems Society · 2020Article
- Review of the OmnipodTherapeutic delivery · 2020Review
- Hypoglycaemia-free artificial pancreas project.IET systems biology · 2020Article
- The Bio-inspired Artificial Pancreas for Type 1 Diabetes Control in the Home: System Architecture and Preliminary Results.Journal of diabetes science and technology · 2019Article
- Controlling the AP Controller: Controller Performance Assessment and Modification.Journal of diabetes science and technology · 2019Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
A novel Model Predictive Control (MPC) law for an Artificial Pancreas (AP) to automatically deliver insulin to people with type 1 diabetes is proposed. The MPC law is an enhancement of the authors' zone-MPC approach that has successfully been trialled in-clinic, and targets the safe outpatient deployment of an AP. The MPC law controls blood-glucose levels to a diurnally time-dependent zone, and enforces diurnal, hard input constraints. The main algorithmic novelty is the use of asymmetric input costs in the MPC problem's objective function. This improves safety by facilitating the independent design of the controller's responses to hyperglycemia and hypoglycemia. The proposed controller performs predictive pump-suspension in the face of impending hypoglycemia, and subsequent predictive pump-resumption, based only on clinical needs and feedback. The proposed MPC strategy's benefits are demonstrated by
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Registered trials
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.