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