Fuzzy model-based controller for blood glucose control in type 1 diabetes: An LMI approach

Biomedical Signal Processing and Control - Tập 54 - Trang 101627 - 2019
Bahare Farahmand1, Maryam Dehghani1, Navid Vafamand1,2
1School of Electrical & Computer Engineering, Shiraz University, Shiraz, Iran
2Department of the Energy Technology, Aalborg University, Aalborg, Denmark

Tài liệu tham khảo

Danne, 2017, International consensus on use of continuous glucose monitoring, Diabetes Care, 40, 1631, 10.2337/dc17-1600 Hacısalihzade, 2013, vol. 441 Zhu, 2014, Application of fuzzy logic control for regulation of glucose level of diabetic patient, vol. 56, 47 Nath, 2019, Observer based nonlinear control design for glucose regulation in type 1 diabetic patients: an LMI approach, Biomed. Signal Process. Control, 47, 7, 10.1016/j.bspc.2018.07.020 Goodwin, 2015, A fundamental control limitation for linear positive systems with application to Type 1 diabetes treatment, Automatica, 55, 73, 10.1016/j.automatica.2015.02.041 Hariri, 2011, Identification and low-complexity regime-switching insulin control of type I diabetic patients, J. Biomed. Sci. Eng., 04, 297, 10.4236/jbise.2011.44040 Chakrabarty, 2019, A new animal model of insulin-glucose dynamics in the intraperitoneal space enhances closed-loop control performance, J. Process Control, 76, 62, 10.1016/j.jprocont.2019.01.002 Bergman, 1981, Physiologic evaluation of factors controlling glucose tolerance in man: measurement of insulin sensitivity and beta-cell glucose sensitivity from the response to intravenous glucose, J. Clin. Invest., 68, 1456, 10.1172/JCI110398 Parker, 2000, RobustH∞ glucose control in diabetes using a physiological model, AIChE J., 46, 2537, 10.1002/aic.690461220 Farahmand, 2016, A backstepping approach for blood glucose control of parker system, 2016 24th Iranian Conference on Electrical Engineering (ICEE), 1300, 10.1109/IranianCEE.2016.7585722 Hovorka, 2002, Partitioning glucose distribution/transport, disposal, and endogenous production during IVGTT, Am. J. Physiol. - Endocrinol. Metab., 282, E992, 10.1152/ajpendo.00304.2001 Tolić, 2000, Modeling the Insulin–Glucose Feedback System: The Significance of Pulsatile Insulin Secretion, J. Theor. Biol., 207, 361, 10.1006/jtbi.2000.2180 Man, 2014, The UVA/PADOVA type 1 diabetes simulator: new features, J. Diabetes Sci. Technol., 8, 26, 10.1177/1932296813514502 Hariri, 2011, Observer-based state feedback for enhanced insulin control of type ‘I’ diabetic patients, Open Biomed. Eng. Journal, 5, 98, 10.2174/1874120701105010098 Shi, 2019, Feedback control algorithms for automated glucose management in T1DM: the state of the art, 1 Dua, 2006, Model-based blood glucose control for type 1 diabetes via parametric programming, IEEE Trans. Biomed. Eng., 53, 1478, 10.1109/TBME.2006.878075 Colmegna, 2016, Switched LPV glucose control in type 1 diabetes, IEEE Trans. Biomed. Eng., 63, 1192, 10.1109/TBME.2015.2487043 Peña, 2010, 680 Chen, 2008, Continuous drug infusion for diabetes therapy: a closed-loop control system design, EURASIP J. Wirel. Commun. Netw., 2008, 1, 10.1155/2008/754252 Radomski, 2010, Modeling of glucose concentration dynamics for predictive control of insulin administration, Biocybernet Biomed Eng, 30, 41 Hovorka, 2004, Nonlinear model predictive control of glucose concentration in subjects with type 1 diabetes, Physiol. Meas., 25, 905, 10.1088/0967-3334/25/4/010 Vito, 2012, 559 Kovacs, 2010, 71 Hernandez, 2011, 3998 Zakeri, 2012, 388 Takarics, 2013, 73 Magni, 2009, Model predictive control of glucose concentration in type I diabetic patients: an in silico trial, Biomed. Signal Process. Control, 4, 338, 10.1016/j.bspc.2009.04.003 Abu-Rmileh, 2010, Internal model sliding mode control approach for glucose regulation in type 1 diabetes, Biomed. Signal Process. Control, 5, 94, 10.1016/j.bspc.2009.12.003 Gallardo Hernández, 2013, High-order sliding-mode control for blood glucose: Practical relative degree approach, Control Eng. Pract., 21, 747, 10.1016/j.conengprac.2012.11.015 Asemani, 2016, Tracking control of chaotic spinning disks via nonlinear dynamic output feedback with input constraints, Complexity, 21, 148, 10.1002/cplx.21727 Vafamand, 2018, Robust L1 observer-based Non-PDC controller design for persistent bounded disturbed TS fuzzy systems, IEEE Trans. Fuzzy Syst., 26, 1401, 10.1109/TFUZZ.2017.2724018 Li, 2016, Nonfragile fault-tolerant fuzzy observer-based controller design for nonlinear systems, IEEE Trans. Fuzzy Syst., 24, 1679, 10.1109/TFUZZ.2016.2540070 Guerra, 2012, Non-quadratic local stabilization for continuous-time Takagi–Sugeno models, Fuzzy Sets Syst., 201, 40, 10.1016/j.fss.2011.12.003 Vafamand, 2018, Secure communication for non-ideal channel via robust TS fuzzy observer-based hyperchaotic synchronization, Chaos Solitons Fractals, 112, 116, 10.1016/j.chaos.2018.04.035 Vafamand, 2017, TS fuzzy robust L 1 control for nonlinear systems with persistent bounded disturbances, J. Frankl. Inst., 354, 5854, 10.1016/j.jfranklin.2017.07.025 Lunze, 2013, Blood glucose control algorithms for type 1 diabetic patients: a methodological review, Biomed. Signal Process. Control, 8, 107, 10.1016/j.bspc.2012.09.003 Sturis, 1991, Computer model for mechanisms underlying ultradian oscillations of insulin and glucose, Am. J. Physiol. - Endocrinol. Metab., 260, E801, 10.1152/ajpendo.1991.260.5.E801 Tanaka, 2001 Vafamand, 2015, More relaxed non-quadratic stabilization conditions for TS fuzzy control systems using LMI and GEVP, Int. J. Control Autom. Syst., 13, 995, 10.1007/s12555-013-0497-7 Vafamand, 2017, More relaxed non-quadratic stabilization conditions using ts open loop system and control law properties: more relaxed non-quadratic stabilization conditions, Asian J. Control, 19, 467, 10.1002/asjc.1429 Tuan, 2001, Parameterized linear matrix inequality techniques in fuzzy control system design, IEEE Trans. Fuzzy Syst., 9, 324, 10.1109/91.919253 Scherer, 2004 Mandal, 2014, LMI based robust blood glucose regulation in Type-1 diabetes patient with daily multi-meal ingestion, J. Inst. Eng. India Ser. B, 95, 121, 10.1007/s40031-014-0083-2 Latafat, 2015, An LMI-based controller for the glucose-insulin system, 2015 European Control Conference (ECC), 7, 10.1109/ECC.2015.7330517 Vafamand, 2018, TS-based sampled-data model predictive controller for continuous-time nonlinear systems, Int. J. Syst. Sci., 49, 3284, 10.1080/00207721.2018.1536234 Simon, 2006