These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

166 related articles for article (PubMed ID: 30034017)

  • 1. Velocity-weighting & velocity-penalty MPC of an artificial pancreas: Improved safety & performance.
    Gondhalekar R; Dassau E; Doyle FJ
    Automatica (Oxf); 2018 May; 91():105-117. PubMed ID: 30034017
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Periodic zone-MPC with asymmetric costs for outpatient-ready safety of an artificial pancreas to treat type 1 diabetes
    Gondhalekar R; Dassau E; Doyle FJ
    Automatica (Oxf); 2016 Sep; 71():237-246. PubMed ID: 27695131
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Tackling problem nonlinearities & delays via asymmetric, state-dependent objective costs in MPC of an artificial pancreas.
    Gondhalekar R; Dassau E; Doyle FJ
    IFAC Pap OnLine; 2015; 48(23):154-159. PubMed ID: 30225467
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Velocity-weighting to prevent controller-induced hypoglycemia in MPC of an artificial pancreas to treat T1DM.
    Gondhalekar R; Dassau E; Doyle FJ
    Proc Am Control Conf; 2015 Jul; 2015():1635-1640. PubMed ID: 28479661
    [TBL] [Abstract][Full Text] [Related]  

  • 5. MPC Design for Rapid Pump-Attenuation and Expedited Hyperglycemia Response to Treat T1DM with an Artificial Pancreas.
    Gondhalekar R; Dassau E; Doyle FJ
    Proc Am Control Conf; 2014 Jun; 2014():4224-4230. PubMed ID: 28479660
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Zone model predictive control: a strategy to minimize hyper- and hypoglycemic events.
    Grosman B; Dassau E; Zisser HC; Jovanovic L; Doyle FJ
    J Diabetes Sci Technol; 2010 Jul; 4(4):961-75. PubMed ID: 20663463
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Adaptive Zone Model Predictive Control of Artificial Pancreas Based on Glucose- and Velocity-Dependent Control Penalties.
    Shi D; Dassau E; Doyle FJ
    IEEE Trans Biomed Eng; 2019 Apr; 66(4):1045-1054. PubMed ID: 30142748
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Embedded Model Predictive Control for a Wearable Artificial Pancreas.
    Chakrabarty A; Healey E; Shi D; Zavitsanou S; Doyle FJ; Dassau E
    IEEE Trans Control Syst Technol; 2020 Nov; 28(6):2600-2607. PubMed ID: 33762804
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Zone-MPC Automated Insulin Delivery Algorithm Tuned for Pregnancy Complicated by Type 1 Diabetes.
    Ozaslan B; Deshpande S; Doyle FJ; Dassau E
    Front Endocrinol (Lausanne); 2021; 12():768639. PubMed ID: 35392357
    [TBL] [Abstract][Full Text] [Related]  

  • 10. In Silico Analysis of an Exercise-Safe Artificial Pancreas With Multistage Model Predictive Control and Insulin Safety System.
    Garcia-Tirado J; Colmegna P; Corbett JP; Ozaslan B; Breton MD
    J Diabetes Sci Technol; 2019 Nov; 13(6):1054-1064. PubMed ID: 31679400
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Enhanced Model Predictive Control (eMPC) Strategy for Automated Glucose Control.
    Lee JB; Dassau E; Gondhalekar R; Seborg DE; Pinsker JE; Doyle FJ
    Ind Eng Chem Res; 2016 Nov; 55(46):11857-11868. PubMed ID: 27942106
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Event-Triggered Model Predictive Control for Embedded Artificial Pancreas Systems.
    Chakrabarty A; Zavitsanou S; Doyle FJ; Dassau E
    IEEE Trans Biomed Eng; 2018 Mar; 65(3):575-586. PubMed ID: 28541890
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A closed-loop artificial pancreas based on risk management.
    Cameron F; Bequette BW; Wilson DM; Buckingham BA; Lee H; Niemeyer G
    J Diabetes Sci Technol; 2011 Mar; 5(2):368-79. PubMed ID: 21527108
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Overnight closed-loop insulin delivery with model predictive control: assessment of hypoglycemia and hyperglycemia risk using simulation studies.
    Wilinska ME; Budiman ES; Taub MB; Elleri D; Allen JM; Acerini CL; Dunger DB; Hovorka R
    J Diabetes Sci Technol; 2009 Sep; 3(5):1109-20. PubMed ID: 20144424
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Closed-loop control and advisory mode evaluation of an artificial pancreatic Beta cell: use of proportional-integral-derivative equivalent model-based controllers.
    Percival MW; Zisser H; Jovanovic L; Doyle FJ
    J Diabetes Sci Technol; 2008 Jul; 2(4):636-44. PubMed ID: 19885240
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Using an Online Disturbance Rejection and Anticipation System to Reduce Hyperglycemia in a Fully Closed-Loop Artificial Pancreas System.
    Corbett JP; Garcia-Tirado J; Colmegna P; Diaz Castaneda JL; Breton MD
    J Diabetes Sci Technol; 2022 Jan; 16(1):52-60. PubMed ID: 34861786
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Glucose Rate-of-Change and Insulin-on-Board Jointly Weighted Zone Model Predictive Control.
    Deshpande S; Doyle FJ; Dassau E
    IEEE Trans Control Syst Technol; 2023 Sep; 31(5):2261-2274. PubMed ID: 38525198
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Artificial pancreas: model predictive control design from clinical experience.
    Toffanin C; Messori M; Di Palma F; De Nicolao G; Cobelli C; Magni L
    J Diabetes Sci Technol; 2013 Nov; 7(6):1470-83. PubMed ID: 24351173
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Advanced hybrid artificial pancreas system improves on unannounced meal response - In silico comparison to currently available system.
    Garcia-Tirado J; Lv D; Corbett JP; Colmegna P; Breton MD
    Comput Methods Programs Biomed; 2021 Nov; 211():106401. PubMed ID: 34560603
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Incorporating Prior Information in Adaptive Model Predictive Control for Multivariable Artificial Pancreas Systems.
    Sun X; Rashid M; Hobbs N; Brandt R; Askari MR; Cinar A
    J Diabetes Sci Technol; 2022 Jan; 16(1):19-28. PubMed ID: 34861777
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.