References
- Ying, H., 2000, Fuzzy Control and Modeling (New York: IEEE Press).
- McShane, M.J., Russell, R.J., Pishko, M.V. Cote, G.L., 2000, Glucose monitoring using implanted fluorescent microspheres. IEEE Engineering in Medicine and Biology 36–45.
- Bergman, R.N., Ider, Y.Z., Bowden, C.R. Cobelli, C., 1979, Quantitative estimation of insulin sensitivity. American Journal of Physiology, 236.
- Takahashi, D., Xiao, Y. Hu, F., 2008, A survey of insulin-dependent diabetes, part II: control methods. International Journal of Telemedicine & Applications, V.
- Dua, P., Doyle, J. Pistikopoulos, E., 2006, Model based glucose control for type I diabetes via parametric programming. IEEE Transactions on Biomedical Engineering, 53.
- Bergman, R.N., Phillips, L.S. Cobelli, C., 1981, Physiologic evaluation of factors controlling glucose tolerance in man: measurement of insulin sensitivity and β-cell glucose sensitivity from the response to intravenous glucose. Journal of Clinical Investigation, 68.
- Ibbini, M.S., Masadeh, M.A. Bani Amer, M.M., 2004, A semiclosed-loop optimal control system for blood glucose level in diabetics. Journal of Medical Engineering & Technology, 28.
- Ibbini, M., 2006, A PI-fuzzy logic controller for the regulation of blood glucose level in diabetic patients. Journal of Medical Engineering & Technology, 30.
- Furler, S.M., Kraegen, E.W., Smallwood, R.H. Chisholm, D.J., 1985, Blood glucose control by intermittent loop closure in the basal mode: computer simulation studies with a diabetic model. Diabetes Care, 8.
- Fisher, M.E., 1991, A semiclosed-loop algorithm for the control of blood glucose levels in diabetics. IEEE Transactions on Biomedical Engineering, 38.
- Ollerton, R.L., 1989, Application of optimal control theory to diabetes mellitus. International Journal of Control, 50.