A gain-scheduling model predictive controller for blood glucose control in type 1 diabetes

IEEE Transactions on Biomedical Engineering

Volumn 57, Issue 10 PART 1, 2010, Pages 2478-2484

  Abu Rmileh, Amjad ^a   Garcia Gabin, Winston ^a  

^a UNIVERSITY OF GIRONA   (Spain)

Author keywords

Gain scheduling (GS); Model predictive control (MPC); Type 1 diabetes mellitus (T1DM)

Indexed keywords

ASYMMETRIC COST FUNCTIONS; BLOOD GLUCOSE; CONTROL ALGORITHMS; CONTROL STRATEGIES; CONTROLLER PERFORMANCE; DIABETIC PATIENT; FEEDFORWARD LOOPS; GAIN SCHEDULING; MODEL BASED PREDICTIVE CONTROL; MODEL PREDICTIVE CONTROL (MPC); SIMULATION ENVIRONMENT; SIMULATION RESULT; TYPE 1 DIABETES; TYPE 1 DIABETES MELLITUS;

ALGORITHMS; BLOOD; COMPUTER SIMULATION; CONTROLLERS; DISTURBANCE REJECTION; GLUCOSE; PREDICTIVE CONTROL SYSTEMS;

MODEL PREDICTIVE CONTROL;

GLUCOSE;

ARTICLE; BLOOD GLUCOSE MONITORING; GLUCOSE BLOOD LEVEL; HYPOGLYCEMIA; INSULIN DEPENDENT DIABETES MELLITUS; SIMULATION;

ADULT; ALGORITHMS; BLOOD GLUCOSE; BLOOD GLUCOSE SELF-MONITORING; DIABETES MELLITUS, TYPE 1; HUMANS; INSULIN INFUSION SYSTEMS; MODELS, BIOLOGICAL;

EID: 77956649906     PISSN: 00189294     EISSN: None     Source Type: Journal    
DOI: 10.1109/TBME.2009.2033663     Document Type: Article

References (28)

1. R.Hovorka, M.E.Wilinska, L.J.Chassin, and D.B.Dunger, "Roadmap to the artificial pancreas," Diabetes Res.Clin.Practice, vol.74, pp.S178- S182, 2006.[2] B.W.Bequette, "A critical assessment of algorithms and challenges in
2. the development of a closed-loop artificial pancreas," Diabetes Technol.Ther., vol.7, no.1, pp.28-46, 2005.
3. D.Takahashi, Y.Xiao, and F.Hu, "A survey of insulin dependent diabetes part II: Control methods," Int.J.Telemed.Appl, vol.2008, doi:10.1155/2008/739385.
4. D.Klonoff, "Continuous glucose monitoring.Roadmap for 21st century diabetes therapy," Diabetes Care, vol.28, no.5, pp.1231-1239, 2005.
5. G.M.Steil, A.E.Panteleon, and K.Rebrin, "Closed-loop insulin delivery-the path to physiological glucose control," Adv.Drug Del.Rev., vol.56, no.2, pp.125-144, 2004.
6. G.M.Steil, K.Rebrin, C.Darwin, F.Hariri, and M.F.Saad, "Feasibility of automating insulin delivery for the treatment of type 1 diabetes," Diabetes, vol.55, no.12, pp.3344-3350, 2006.
7. B.P.Kovatchev, M.Breton, C.D.Man, and C.Cobelli, "In silico preclinical trials: a proof of concept in closed-loop control of type 1 diabetes," Diabetes Sci.Technol., vol.3, no.1, pp.44-55, 2009.
8. C.D.Man, R.A.Rizza, and C.Cobelli, "Meal simulation model of the glucose-insulin system," IEEE Trans.Biomed.Eng., vol.54, no.10, pp.1740-1749, Oct.2007.
9. C.D.Man,M.Camilleri, and C.Cobelli, "A system model of oral glucose absorption: Validation on gold standard data," IEEE Trans.Biomed.Eng., vol.53, no.12, pp.2472-2478, Dec.2006.
10. C.D.Man, D.M.Raimondo, R.A.Rizza, and C.Cobelli, "GIM, simulation software of meal glucose-insulin model," Diabetes Sci.Technol., vol.1, no.3, pp.323-330, 2007.
11. M.Breton and B.P.Kovatchev, "Analysis, modeling, and simulation of the accuracy of continuous glucose sensors," Diabetes Sci.Technol., vol.2, no.5, pp.1-10, 2008.
12. L.Magni,D.M.Raimondo, C.D.Man, M.Breton, S.Patek,G.D.Nicolao, C.Cobelli, and B.P.Kovatchev, "Evaluating the efficacy of closed-loop glucose regulation via control variability grid analysis," Diabetes Sci.Technol., vol.2, no.4, pp.630-635, 2008.
13. B.P.Kovatchev, W.L.Clarke, M.Breton, K.Brayman, and A.McCall, "Quantifying temporal glucose variability in diabetes via continuous glucose monitoring: Mathematical methods and clinical application," Diabetes Technol.Ther., vol.7, no.6, pp.849-862, 2005.
14. L.J.Chassin, M.E.Wilinska, and R.Hovorka, "Evaluation of glucose controllers in virtual environment: Methodology and sample application," Artif.Intell.Med., vol.32, no.3, pp.171-181, 2004.
15. F.Chee and T.Fernando, Closed-Loop Control of Blood Glucose.Berlin, Germany: Springer-Verlag, 2007.
16. J.M.Maciejowski, Predictive ControlWith Constraints.London, U.K.: Prentice-Hall, 2002.
17. E.F.Camacho and C.Bordons, Model Predictive Control, 2nd ed.London, U.K.: Springer-Verlag, 2004.
18. R.Hovorka, "Continuous glucose monitoring and closed-loop systems," Diabetic Med., vol.23, no.1, pp.1-12, 2006.
19. R.S.Parker, F.J.Doyle, III, and NA.Peppas, "A model-based algorithm for blood glucose control in type I diabetic patients," IEEE Trans.Biomed.Eng., vol.46, no.2, pp.148-157, Feb.1999.
20. S.Lynch and B.Bequette, "Model predictive control of blood glucose in type I diabetics using subcutaneous glucose measurements," in Proc.Amer.Control Conf., Anchorage, AK, 2002, vol.5, pp.4039-4043.
21. R.Hovorka, V.Canonico, L.J.Chassin, U.Haueter, M.Massi-Benedetti, and M.Orsini, "Nonlinear model predictive control of glucose concentration in subjects with Type1 diabetes," Physiol.Meas., vol.24, no.4, pp.905-920, 2004.
22. Z.Trajanoski and P.Wach, "Neural predictive controller for insulin delivery using the subcutaneous route," IEEE Trans Biomed.Eng., vol.45, no.9, pp.1122-1234, 1998.
23. L.Magni, D.M.Raimondo, L.Bossi, C.D.Man, G.D.Nicolao, B.P.Kovatchev, and C.Cobelli, "Model predictive control of type 1 diabetes:An in silico trial,"," Diabetes Sci.Technol., vol.1, no.6, pp.804- 812, 2007.
24. V.J.Briscoe and S.N.Davis, "Hypoglycemia in Type 1 and Type 2 diabetes: Physiology, pathophysiology, and management," Clin.Diabetes, vol.24, no.3, pp.115-121, 2006.
25. D.LeRoith, S.I.Taylor, and J.M.Olefsky, Diabetes Mellitus: A Fundamental and Clinical Text.Baltimore, MD: Lippincott Williams &Wilkins, 2004.
26. W.J.Rugh and J.S.Shamma, "Research on gain scheduling," Automatica, vol.36, no.10, pp.1401-1425, 2000.
27. L.Chisci, P.Falugi, and G.Zappa, "Gain-scheduling MPC of nonlinear systems," Int.J.Robust Nonlinear Control, vol.13, no.3, pp.295-1230, 2003.
28. B.P.Kovatchev, E.Otto, D.J.Cox, L.A.Gonder-Frederick, and W.L.Clarke, "Evaluation of a new measure of blood glucose variability in diabetes," Diabetes Care, vol.29, no.11, pp.2433-2438, 2006