Simulation of fuzzy-modified expert PID algorithms for blood glucose control

2008 10th International Conference on Control, Automation, Robotics and Vision, ICARCV 2008

Volumn , Issue , 2008, Pages 1583-1589

  Susanto Lee, Rob ^a   Fernando, Tyrone ^a   Sreeram, Victor ^a  

^a UNIVERSITY OF WESTERN AUSTRALIA   (Australia)

Author keywords

Blood glucose control; Expert PID controller; Fuzzy controller

Indexed keywords

BLOOD GLUCOSE CONTROL; BLOOD GLUCOSE LEVELS; CLINICAL TESTS; CONTINUOUS GLUCOSE MONITORING; EXPERT PID CONTROLLER; FUZZY CONTROLLER; FUZZY-PID CONTROLLERS; PATIENT MODELS; PID ALGORITHMS; SIMULATION STUDIES;

ALGORITHMS; BLOOD; COMPUTER VISION; CONTROLLERS; ELECTRIC CONTROL EQUIPMENT; FUZZY CONTROL; GLUCOSE; GLUCOSE SENSORS; ROBOTICS; THREE TERM CONTROL SYSTEMS; TWO TERM CONTROL SYSTEMS;

PROPORTIONAL CONTROL SYSTEMS;

EID: 64649104625     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICARCV.2008.4795761     Document Type: Conference Paper

References (14)

1. R. Parker, I. Doyle, F.J., and N. 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.
2. R. Parker, E. Gatzke, and I. Doye, F.J., "Advanced model predictive control (mpc) for type i diabetic patient blood glucose control," in Proc. American Control Conference the 2000, vol. 5, 28-30 June 2000, pp. 3483-3487.
3. S. Lynch and B. Bequette, "Model predictive control of blood glucose in type i diabetics using subcutaneous glucose measurements," in Proc. American Control Conference the 2002, vol. 5, 8-10 May 2002, pp. 4039-4043.
4. D. Campos-Delgado, M. Hernandez-Ordonez, R. Femat, and A. Gordillo-Moscoso, "Fuzzy-based controller for glucose regulation in type-1 diabetic patients by subcutaneous route," IEEE Trans. Biomed. Eng., vol. 53, no. 11, pp. 2201-2210, Nov. 2006.
5. M. Ibbini and M. Masadeh, "A fuzzy logic based closedloop control system for blood glucose level regulation in diabetics," Journal of Medical Engineering & Technology, vol. 29, no. 2, p. 6469, 2005.
6. F. Chee, T. Fernando, A. Savkin, and V. van Heeden, "Expert pid control system for blood glucose control in critically ill patients," IEEE Trans. Inf. Technol. Biomed., vol. 7, no. 4, pp. 419-425, Dec. 2003.
7. F. Chee, T. Fernando, and P. van Heerden, "Closed-loop glucose control in critically ill patients using continuous glucose monitoring system (cgms) in real time," IEEE Trans. Inf. Technol. Biomed., vol. 7, no. 1, pp. 43-53, 2003.
8. F. Chee, "Simulation study on automatic blood glucose control," in Proc. Intelligent Information Systems Conference The Seventh Australian and New Zealand 2001, 18-21 Nov. 2001, pp. 423-427.
9. R. Bergman, Y. Ider, C. Bowden, and C. Cobelli, "Quantitative estimation of insulin sensitivity," American Journal of Physiology, vol. 36, no. 6, p. 667677, 1979.
10. R. Bergman, L. Phillips, and C. Cobelli, "Physiological evaluation of factors controlling glucose tolerance in man," Journal of Clinical Investigation, vol. 68, p. 14561467, 1981.
11. S. Furler, E. Kraegen, R. Smallwood, and C. D., "Blood glucose control by intermittent loop closure in the basal mode: Computer simulation studies with a diabetic model," Diabetes Care, vol. 8, p. 553561, 1985.
12. M. Fisher, "A semiclosed-loop algorithm for the control of blood glucose levels in diabetics," IEEE Trans. Biomed. Eng., vol. 38, no. 1, pp. 57-61, Jan. 1991.
13. R. Ollerton, "application of optimal control theory to diabetes mellitus," International Journal of Control, vol. 50, no. 6, p. 25032522, 1989.
14. L. Reznik, Fuzzy Controllers. Newnes, 1997.