A robust sliding mode controller with internal model for closed-loop artificial pancreas

Medical and Biological Engineering and Computing

Volumn 48, Issue 12, 2010, Pages 1191-1201

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

^a UNIVERSITY OF GIRONA   (Spain)

Author keywords

Artificial pancreas; Internal model control; Sliding mode control; Type 1 diabetes mellitus

Indexed keywords

ARTIFICIAL PANCREAS; BLOOD GLUCOSE; CLOSED-LOOP; CONTROL STRATEGIES; DIABETES MELLITUS; DIABETIC PATIENT; FEED-FORWARD CONTROLLERS; INSULIN BOLUS; INSULIN DELIVERY; INSULIN SENSITIVITY; INTERNAL MODEL CONTROL; INTERNAL MODELS; ROBUST SLIDING MODE; SIMULATION STUDIES; SLIDING MODE CONTROLLER; SLIDING MODES;

ARTIFICIAL ORGANS; BLOOD; ERRORS; GLUCOSE; INSULIN; MODEL PREDICTIVE CONTROL; SLIDING MODE CONTROL;

CONTROLLERS;

INSULIN;

ALGORITHM; ARTICLE; ARTIFICIAL PANCREAS; BIOLOGICAL MODEL; BLOOD; DRUG ADMINISTRATION; GLUCOSE BLOOD LEVEL; HUMAN; INSULIN DEPENDENT DIABETES MELLITUS; INSULIN INFUSION; METABOLISM;

ALGORITHMS; BLOOD GLUCOSE; DIABETES MELLITUS, TYPE 1; DRUG ADMINISTRATION SCHEDULE; HUMANS; INSULIN; INSULIN INFUSION SYSTEMS; MODELS, BIOLOGICAL; PANCREAS, ARTIFICIAL;

EID: 84855743184     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11517-010-0665-3     Document Type: Article

References (37)

1. Abu-Rmileh A, Garcia-Gabin W (2010) Feedforward-feedback multiple predictive controllers for glucose regulation in type 1 diabetes. Comput Meth Programs Biomed 99(1):113-123
2. Abu-Rmileh A, Garcia-Gabin W, Zambrano D (2010) Internal model sliding mode control approach for glucose regulation in type 1 diabetes. Biomed Signal Process Control 5(2):94-102
3. Bequette B (2005) A critical assessment of algorithms and challenges in the development of a closed-loop artificial pancreas. Diabetes Technol Ther 7(1):28-46
4. Bergman R, Ider Y, Bowden C, Cobelli C (1979) Quantitative estimation of insulin sensitivity. Am J Physiol 236:E667
5. Breton M, Kovatchev B (2008) Analysis, modeling, and simulation of the accuracy of continuous glucose sensors. J Diabetes Sci Technol 2(5):853-862
6. Camacho O, Rojas R, Garcia-Gabin W (1999) Variables structure control to inverse response systems with dead time. ISA Trans 38(1):87-99
7. Camacho O, Rojas R, Garcia-Gabin W (2007) Some long time delay sliding mode control approaches. ISA Trans 46(1):95-101
8. Chee F, Fernando T (2007) Closed-loop control of blood glucose. Springer, London
9. Dalla Man C, Camilleri M, Cobelli C (2006) A system model of oral glucose absorption: Validation on gold standard data. IEEE Trans Biomed Eng 53(12):2472-2478
10. Dalla Man C, Rizza R, Cobelli C (2007) Meal simulation model of the glucose-insulin system. IEEE Trans Biomed Eng 54(10): 1740-1749
11. Dua P, Doyle III F, Pistikopoulos E (2009) Multi-objective blood glucose control for type 1 diabetes. Med Biol Eng Comput 47(3):343-52
12. Fabietti P, Canonico V, Federici M, Benedetti M, Sarti E (2006) Control oriented model of insulin and glucose dynamics in type 1 diabetics. Med Biol Eng Comput 44(1-2):69-78
13. Garcia-Gabin W, Vehí J, Bondia J, Tarín C, Calm R (2008) Robust sliding mode closed-loop glucose control with meal compensation in type 1 diabetes mellitus. In: 17th IFAC World Congress, Seoul, Korea, pp 4240-4245
14. Garcia-Gabin W, Dorado F, Bordons C (2010) Real-time implementation of a sliding mode controller for air supply on a PEM fuel cell. J Process Control 20(3):325-336
15. Hovorka R, Shojaee-Moradie F, Carroll P, Chassin L, Gowrie I, Jackson N, Tudor R, Umpleby A, Jones R (2002) Partitioning glucose distribution/transport, disposal, and endogenous production during IVGTT. Am J Physiol Endocrinol Metab 282(5): 992-1007
16. Hovorka R, Canonico V, Chassin L, Haueter U, Massi-Benedetti M, Orsini Federici M, Pieber T, Schaller H, Schaupp L, Vering T, Wilinska M (2004) Nonlinear model predictive control of glucose concentration in subjects with type 1 diabetes. Physiol Meas 25(4):905-920
17. Hovorka R, Wilinska M, Chassin L, Dunger D (2006) Roadmap to the artificial pancreas. Diabetes Res Clin Pract 74(2):S178-S182
18. Hovorka R, Acerini C, Allen J, Chassin L, Larsen A, De Palma A, Wilinska M, Dunger D (2008) Overnight sc-sc closedloop control improves glucose control and reduces risk of hypoglycaemia in children and adolescents with type 1 diabetes. Diabetes 57(Suppl 1):A22
19. Klonoff D (2005) Continuous glucose monitoring, roadmap for 21st century diabetes therapy. Diabetes Care 28(5):1231-1239
20. Kovatchev B, Clarke W, Breton M, Brayman K, McCall A (2005) Quantifying temporal glucose variability in diabetes via continuous glucose monitoring: Mathematical methods and clinical application. Diabetes Technol Ther 7(6):849-862
21. Kovatchev B, Otto E, Cox D, Gonder-Frederick L, Clarke W (2006) Evaluation of a new measure of blood glucose variability in diabetes. Diabetes Care 29(11):2433-2438
22. Lee H, Bequette B (2009) A closed-loop artificial pancreas based on model predictive control: Human friendly identification and automatic meal disturbance rejection. Biomed Signal Process Control 4(4):347-354
23. Magni L, Raimondo D, Dalla Man C, De Nicolao G, Kovatchev B, Cobelli C (2009) Model predictive control of type 1 diabetes: An in silico trial. Biomed Signal process control 4(4):338-346
24. Marchetti G, Barolo M, Jovanovic L, Zisser H, Seborg D (2008) A feedforward-feedback glucose control strategy for type 1 diabetes mellitus. J Process Control 18(2):149-162
25. Palerm C, Zisser H, Jovanovic L, Doyle III F (2007) A run-to-run control strategy to adjustbasal insulin infusion rates in type 1 diabetes. J Process Control 18(3-4):258-265
26. Ramprasad Y, Rangaiah G, Lakshminarayanan S (2006) Enhanced IMC for glucose control in type i diabetic using a detalied physiological model. Food Bioprod Process 84(C3): 227-336
27. Scheiner G, Boyer B (2005) Characteristics of basal insulin requirements by age and gender in type 1 diabetes patients using insulin pump therapy. Diabetes Res Clin Pract 69(1):14-21
28. Slotine J, Li W (1991) Applied nonlinear control. Prentice-Hall, Upper Saddle River
29. Smith CA, Corripio AB (1997) Principles and practice of automatic process control, 2nd edn. Wiley, New York
30. Sorensen J (1985) A physiologic model of glucose metabolism in man and its use to design and assess improved insulin therapies for diabetes. Ph.D. thesis, Department of Chemical Engineering, MIT
31. Steil G, Pantaleon A, Rebrin K (2004) Closed-loop insulin delivery-the path to physiological glucose control. Adv Drug Delivery Rev 56(2):125-144
32. Steil G, Rebrin K, Darwin C, Hariri F, Saad M (2006) Feasibility of automating insulin delivery for the treatment of type 1 diabetes. Diabetes 55(12):3344-3350
33. Utkin V (1981) Sliding modes in control and optimization. Springer, Moscow
34. Utkin V, Guldner J, Shi J (1999) Sliding modes in electromechanical systems. Taylor-Francis, London
35. Weinzimer SA, Steil G, Karena S, Dziura J, Kurtiz N, Tamborlane W (2008) Fully automated closed-loop insulin delivery versus semiautomated hybrid control in pediatric patients with type 1 diabetes using an artificial pancreas. Diabetes Care 31(5): 934-939
36. Yamaguchi M, Kaseda C, Yamazaki K, Kobayashi M (2006) Prediction of blood glucose level of type 1 diabetics using response surface methodology and data mining. Med Biol Eng Comput 44(6):451-457
37. Zinober A (1994) Variable structure and Lyapunov control. Springer, London