Implementation of model predictive control for glucose regulation on a general purpose microprocessor

Proceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05

Volumn 2005, Issue , 2005, Pages 5162-5167

  Bleris, Leonidas G ^a   Kothare, Mayuresh V ^a  

^a Lehigh University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GENERAL-PURPOSE PROCESSOR; HORIZON CONTROL; MODEL PREDICTIVE CONTROL (MPC);

CONSTRAINT THEORY; EMBEDDED SYSTEMS; GLUCOSE; MATHEMATICAL MODELS; MICROPROCESSOR CHIPS; PROBLEM SOLVING;

PREDICTIVE CONTROL SYSTEMS;

EID: 33847204997     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CDC.2005.1582981     Document Type: Conference Paper

References (23)

1. George Hassapis. Implementation of model predictive control using real-time multiprocessing computing. Microprocessors and Microsystems, 27:327-340, 2003.
2. A. Bemporad, M. Morari, V. Dua, and E. N. Pistikopoulos. The explicit linear quadratic regulator for constrained systems. Automatica, 38(1):3-20, January 2002.
3. th IFAC Symposium on Dynamics and Control of Process Systems (DYCOPS-7), Boston, MA, July 2004.
4. th IFAC Symposium on Dynamics and Control of Process Systems (DYCOPS-7), Boston, MA, July 2004.
5. L. G. Bleris, M. V. Kothare, J. G. Garcia, and M. G. Arnold. Towards embedded model predictive control for system-on-a-chip applications. To appear: Journal of Process Control, 2005.
6. E. F. Camacho and C. Bordons. Model Predictive Control in the Process Industry. Springer, New York. 1995.
7. R. Fletcher. Practical Methods of Optimization. John Wiley & Sons, 1987.
8. Metrowerks Corporation, Austin, TX. CodeWarrior Development Studio, MPC5xx Edition, 2004.
9. R. Langer. Transdermal drug delivery: past progress, current status, and future prospects. Advanced Drug Delivery Reviews. 56:557-558, March 2004.
10. M. R. Prausnitz. Microneedles for transdermal drug delivery. Advanced Drug Delivery Reviews. 56:581-587, March 2004.
11. S. L. Taoa and T. A. Desai. Microfabricated drug delivery systems: from particles to pores. Advanced Drug Delivery Reviews, 55:315-328, March 2003.
12. Orhan Soykan. Power sources for implantable medical devices. Device Technology & Applications, pages 76-79, 2002.
13. R. S. Parker, F. J. Doyle, and N. A. Peppas. A model-based algorithm for blood glucose control in type I diabetic patients. IEEE Transactions on Biomedical Engineering, 46(2):148157, 1999.
14. E. Ruiz-Velazquez, R. Femat, and D. U. Campos-Delgado. Blood Glucose Control for type I diabetes mellitus: A robust tracking Hinf problem. Control Engineering Practice, 12:1179-1195, 2004.
15. R. S. Parker and F.J. Doyle III. Control-relevant modeling in drug delivery. Advances in Drug Delivery Reviews. 48(2):211-248, 2001.
16. R. N. Bergman, Y. Z. Wer, C. R. Bowden, and C. Cobelli. Quantitative estimation of insulin sensitivity. American Journal of Physiology, 236:E667-E677, 1979.
17. S. E. Kahn G. M. Steil. A. Volund and R. N. Bergman. Reduced sample number for calculation of insulin sensitivity and glucose effectiveness from the minimal model. Diabetes, 42:250-256, 1993.
18. G. Pacini and R. N. Bergman. A computer program to calculate insulin sensitivity and pancreatic responsivity from the frequently sampled intravenous glucose tolerance test. Computer Methods and Programs in Biomedicine, 23:113-122, 1986.
19. N. V. Riel. Minimal models for glucose and insulin kinetics. In Technique Report. Eindhoven University of Technology, February 2004.
20. S. M. Lynch and B. W. Bequette. Model predictive control of blood glucose in type 1 diabetics using subcutaneous glucose measurements. In Proceedings of the 2002 American Control Conference, pages 4039-4043, Anchorage, AK, June 2002.
21. R. Hovorka, B. Canonico, L. J. Chassin, U. Haueter, M. M. Benedetti, M. O. Federici, T. R. Pieber, H. C. Schaller, L. Schaupp, T. Vering, and M. E. Wilinska. Nonlinear model predictive control of glucose concentration in subjects with type 1 diabetes. Physiological Measurement, pages 905-920, 2004.
22. L. G. Bleris, P. Vouzis, M. G. Arnold, and M. V. Kothare. Submitted: A Co-Processor FPGA Platform for the Implementation of Real-Time Model Predictive Control. In 2006 American Control Conference, Minneapolis, MI, July 2006.
23. P. Vouzis, L. G. Bleris, M. V. Kothare, and M. G. Arnold. Towards a Co-design Implementation of a System for Model Predictive Control. In 2005 AIChE Annual Meeting. Cincinnati, OH, November 2005.