Improved Blood Glucose-Insulin Monitoring with Dual-Layer Predictive Control Design
 J. Kropff, S. D. Favero, J. Place, et al., “2 month evening and night closed-loop glucose control in patients with type 1 diabetes under free living conditions: a randomised crossover trial,” Lancet Diabetes Endocrinol., vol. 3, pp. 939-947, Dec. 2015.
 M. Vettoretti, A. Facchinetti, G. Sparacino, C. Cobelli, “Type 1 diabetes patient decision simulator for in silico testing safety and effectiveness of insulin treatments”, IEEE Transactions on Biomedical Engineering, vol. 65, no. 6, pp. 1281-1290, June 2018.
 E. Johannessen, O. Krushinitskaya, A. Sokolov, et al., “Toward an injectable continuous osmotic glucose sensor,” J. Diab. Sci. Technol., vol. 4, pp. 882-892, Jul. 2010.
 S. Schaller, J. Lippert, L. Schaupp, T. R. Pieber, A. Schuppert, and T. Eissing, “Modeling Robust PBPK/PD-Based Model Predictive Control of Blood Glucose”, IEEE Transactions on Biomedical Engineering, vol. 63, no. 7, pp. 1492-1504, Jul. 2016.
 R. Hovorka, “Closed-loop insulin delivery: From bench to clinical practice,” Nature Rev. Endocrinol., vol. 7, no. 7, pp. 385–395, Feb. 2011.
 J. R. Castle et al., “Novel use of glucagon in a closed-loop system for prevention of hypoglycemia in type 1 diabetes,” Diabetes Care, vol. 33, no. 6, pp. 1282-1287, June 2010.
 A. Dauber et al., “Closed-loop insulin therapy improves glycemic control in children aged <7 years: A randomized controlled trial,” Diabetes Care, vol. 36, no. 2, pp. 222-227, Feb. 2013.
 Y. Ruan, M. E. Wilinska, H. Thabit, and R. Hovorka, “Modeling Day-to-Day Variability of Glucose–Insulin Regulation Over 12-Week Home Use of Closed-Loop Insulin Delivery”, IEEE Transactions on Biomedical Engineering, vol. 64, no. 6, pp. 1412-1419, June 2017.
 R. Hovorka et al., “Nonlinear model predictive control of glucose concentration in subjects with type 1 diabetes,” Physiological Meas., vol. 25, no. 4, pp. 905-920, Aug. 2004.
 T. S. Bailey, A. Chang, and M. Christiansen, “Clinical accuracy of a continuous glucose monitoring system with an advanced algorithm”, Journal of Diabetes Sci Technol, vol. 9, no. 2, pp. 209-214, Feb. 2015.
 Medtronic Inc. website, available: https://www.medtronicdiabetes.com/treatments/continuous-glucose-monitoring
 H. Park, J. Sun and I. Kolmanovsky, “A tutorial overview of IPA-SQP approach for optimization of constrained nonlinear systems,” in Proc. of 11th World Congress on Intelligent Control and Automation (WCICA), China, Jul. 2014, pp. 1735-1740.