{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T08:40:14Z","timestamp":1780044014984,"version":"3.53.1"},"reference-count":56,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2022,3,10]],"date-time":"2022-03-10T00:00:00Z","timestamp":1646870400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,3,10]],"date-time":"2022-03-10T00:00:00Z","timestamp":1646870400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Med Biol Eng Comput"],"published-print":{"date-parts":[[2022,5]]},"DOI":"10.1007\/s11517-022-02511-5","type":"journal-article","created":{"date-parts":[[2022,3,10]],"date-time":"2022-03-10T19:02:37Z","timestamp":1646938957000},"page":"1347-1361","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":13,"title":["Extended Kalman filter state estimation\u2013based nonlinear explicit model predictive control design for blood glucose regulation of type 1 diabetic patient"],"prefix":"10.1007","volume":"60","author":[{"given":"Debasis","family":"Acharya","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dushmanta Kumar","family":"Das","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,3,10]]},"reference":[{"key":"2511_CR1","doi-asserted-by":"crossref","unstructured":"Abdelrahem M, Hackl C, Kennel R (2015) Application of extended Kalman filter to parameter estimation of doubly-fed induction generators in variable-speed wind turbine systems. In: 2015 International conference on clean electrical power (ICCEP), p 226\u2013233. IEEE","DOI":"10.1109\/ICCEP.2015.7177628"},{"key":"2511_CR2","doi-asserted-by":"crossref","unstructured":"Acharya D, Das DK (2021) Non linear back stepping based sliding mode controller design with real-time simulator for regulating glucose in type-1 diabetic patient. In: 2021 1St odisha international conference on electrical power engineering, communication and computing technology (ODICON), p 1\u20135. IEEE","DOI":"10.1109\/ODICON50556.2021.9428961"},{"key":"2511_CR3","doi-asserted-by":"crossref","unstructured":"Acharya D, Gurumurthy G, Das DK (2020) Linearized receding horizon model predictive controller design to regulate glucose in type 1 diabetic patients. In: 2020 IEEE Applied signal processing conference (ASPCON), p 203\u2013207. IEEE","DOI":"10.1109\/ASPCON49795.2020.9276696"},{"key":"2511_CR4","doi-asserted-by":"publisher","first-page":"200","DOI":"10.1016\/j.bspc.2017.06.009","volume":"38","author":"S Ahmad","year":"2017","unstructured":"Ahmad S, Ahmed N, Ilyas M, Khan W, et al. (2017) Super twisting sliding mode control algorithm for developing artificial pancreas in type 1 diabetes patients. Biomedical Signal Processing and Control 38:200\u2013211","journal-title":"Biomedical Signal Processing and Control"},{"key":"2511_CR5","unstructured":"Aleppo G (2019) Insulin pump overview https:\/\/www.endocrineweb.com\/guides\/insulin\/insulin-pump-overview"},{"issue":"2","key":"2511_CR6","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1002\/oca.920","volume":"32","author":"SF Ali","year":"2011","unstructured":"Ali SF, Padhi R (2011) Optimal blood glucose regulation of diabetic patients using single network adaptive critics. Optimal Control Applications and Methods 32(2):196\u2013214","journal-title":"Optimal Control Applications and Methods"},{"issue":"1","key":"2511_CR7","doi-asserted-by":"publisher","first-page":"177","DOI":"10.1007\/s11517-018-1872-6","volume":"57","author":"S Bahremand","year":"2019","unstructured":"Bahremand S, Ko HS, Balouchzadeh R, Lee HF, Park S, Kwon G (2019) Neural network-based model predictive control for type 1 diabetic rats on artificial pancreas system. Medical & biological engineering & computing 57(1):177\u2013191","journal-title":"Medical & biological engineering & computing"},{"issue":"4","key":"2511_CR8","doi-asserted-by":"publisher","first-page":"119","DOI":"10.1049\/iet-syb.2016.0044","volume":"11","author":"Y Batmani","year":"2017","unstructured":"Batmani Y (2017) Blood glucose concentration control for type 1 diabetic patients: a non-linear suboptimal approach. IET systems biology 11(4):119\u2013125","journal-title":"IET systems biology"},{"issue":"4","key":"2511_CR9","doi-asserted-by":"publisher","first-page":"585","DOI":"10.1016\/j.jprocont.2011.01.001","volume":"21","author":"VA Bavdekar","year":"2011","unstructured":"Bavdekar VA, Deshpande AP, Patwardhan SC (2011) Identification of process and measurement noise covariance for state and parameter estimation using extended Kalman filter. Journal of Process control 21(4):585\u2013601","journal-title":"Journal of Process control"},{"issue":"6","key":"2511_CR10","doi-asserted-by":"publisher","first-page":"E667","DOI":"10.1152\/ajpendo.1979.236.6.E667","volume":"236","author":"RN Bergman","year":"1979","unstructured":"Bergman RN, Ider YZ, Bowden CR, Cobelli C (1979) Quantitative estimation of insulin sensitivity. American Journal of Physiology-Endocrinology And Metabolism 236(6):E667","journal-title":"American Journal of Physiology-Endocrinology And Metabolism"},{"key":"2511_CR11","doi-asserted-by":"publisher","first-page":"14","DOI":"10.1016\/j.jprocont.2016.02.003","volume":"41","author":"A Bhattacharjee","year":"2016","unstructured":"Bhattacharjee A, Sutradhar A (2016) Data driven nonparametric identification and model based control of glucose-insulin process in type 1 diabetics. J Process Control 41:14\u201325","journal-title":"J Process Control"},{"key":"2511_CR12","doi-asserted-by":"crossref","unstructured":"Boiroux D, Duun-Henriksen AK, Schmidt S, N\u00f8rgaard K, Poulsen NK, Madsen H, J\u00f8 rgensen JB (2017) Adaptive control in an artificial pancreas for people with type 1 diabetes. Control Engineering Practice 58:332\u2013342","DOI":"10.1016\/j.conengprac.2016.01.003"},{"issue":"6","key":"2511_CR13","doi-asserted-by":"publisher","first-page":"1741","DOI":"10.1109\/TIA.2003.818991","volume":"39","author":"S Bolognani","year":"2003","unstructured":"Bolognani S, Tubiana L, Zigliotto M (2003) Extended Kalman filter tuning in sensorless pmsm drives. IEEE Trans Ind Appl 39(6):1741\u20131747","journal-title":"IEEE Trans Ind Appl"},{"issue":"4","key":"2511_CR14","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1109\/MCS.2017.2696759","volume":"37","author":"A Borri","year":"2017","unstructured":"Borri A, Cacace F, De Gaetano A, Germani A, Manes C, Palumbo P, Panunzi S, Pepe P (2017) Luenberger-like observers for nonlinear time-delay systems with application to the artificial pancreas: the attainment of good performance. IEEE Control Syst Mag 37(4):33\u201349","journal-title":"IEEE Control Syst Mag"},{"key":"2511_CR15","unstructured":"Van den Bossche W (2013) Data assimilation toolbox for matlab"},{"key":"2511_CR16","doi-asserted-by":"crossref","unstructured":"Bruttomesso D, Farret A, Costa S, Marescotti MC, Vettore M, Avogaro A, Tiengo A, Dalla Man C, Place J, Facchinetti A et al (2009) Closed-loop artificial pancreas using subcutaneous glucose sensing and insulin delivery and a model predictive control algorithm: preliminary studies in padova and montpellier","DOI":"10.1177\/193229680900300504"},{"issue":"11","key":"2511_CR17","doi-asserted-by":"publisher","first-page":"2201","DOI":"10.1109\/TBME.2006.879461","volume":"53","author":"DU Campos-Delgado","year":"2006","unstructured":"Campos-Delgado DU, Hern\u00e1ndez-Ordo\u00f1ez M., Femat R, Gordillo-Moscoso A (2006) Fuzzy-based controller for glucose regulation in type-1 diabetic patients by subcutaneous route. IEEE Trans Biomed Eng 53(11):2201\u20132210","journal-title":"IEEE Trans Biomed Eng"},{"issue":"2","key":"2511_CR18","doi-asserted-by":"publisher","first-page":"904","DOI":"10.1002\/oca.2388","volume":"39","author":"DA Copp","year":"2018","unstructured":"Copp DA, Gondhalekar R, Hespanha JP (2018) Simultaneous model predictive control and moving horizon estimation for blood glucose regulation in type 1 diabetes. Optimal Control Applications and Methods 39(2):904\u2013918","journal-title":"Optimal Control Applications and Methods"},{"key":"2511_CR19","doi-asserted-by":"crossref","unstructured":"De Wit CC, Youssef A, Barbot J, Martin P, Malrait F (2000) Observability conditions of induction motors at low frequencies. In: Proceedings of the 39th IEEE Conference on Decision and Control (Cat. No. 00CH37187), vol 3, p 2044\u20132049. IEEE","DOI":"10.1109\/CDC.2000.914093"},{"issue":"3","key":"2511_CR20","doi-asserted-by":"publisher","first-page":"131","DOI":"10.4103\/2228-7477.161463","volume":"5","author":"ST Dinani","year":"2015","unstructured":"Dinani ST, Zekri M, Kamali M (2015) Regulation of blood glucose concentration in type 1 diabetics using single order sliding mode control combined with fuzzy on-line tunable gain, a simulation study. Journal of medical signals and sensors 5(3):131","journal-title":"Journal of medical signals and sensors"},{"key":"2511_CR21","doi-asserted-by":"crossref","unstructured":"Dutta L, Das DK (2021) A new adaptive explicit nonlinear model predictive control design for a nonlinear mimo system: an application to twin rotor mimo system. International Journal of Control, Automation and Systems p 1\u201314","DOI":"10.1007\/s12555-020-0272-5"},{"issue":"1","key":"2511_CR22","doi-asserted-by":"publisher","first-page":"67","DOI":"10.1016\/j.biosystems.2010.09.012","volume":"103","author":"C Eberle","year":"2011","unstructured":"Eberle C, Ament C (2011) The unscented Kalman filter estimates the plasma insulin from glucose measurement. Biosystems 103(1):67\u201372","journal-title":"Biosystems"},{"issue":"101","key":"2511_CR23","first-page":"627","volume":"54","author":"B Farahmand","year":"2019","unstructured":"Farahmand B, Dehghani M, Vafamand N (2019) Fuzzy model-based controller for blood glucose control in type 1 diabetes: an lmi approach. Biomedical Signal Processing and Control 54(101):627","journal-title":"Biomedical Signal Processing and Control"},{"issue":"3","key":"2511_CR24","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1016\/j.clinbiochem.2008.09.112","volume":"42","author":"CM Girardin","year":"2009","unstructured":"Girardin CM, Huot C, Gonthier M, Delvin E (2009) Continuous glucose monitoring: a review of biochemical perspectives and clinical use in type 1 diabetes. Clinical biochemistry 42(3):136\u2013142","journal-title":"Clinical biochemistry"},{"key":"2511_CR25","doi-asserted-by":"publisher","first-page":"237","DOI":"10.1016\/j.automatica.2016.04.015","volume":"71","author":"R Gondhalekar","year":"2016","unstructured":"Gondhalekar R, Dassau E, Doyle III (2016) F.j.: Periodic zone-mpc with asymmetric costs for outpatient-ready safety of an artificial pancreas to treat type 1 diabetes. Automatica 71:237\u2013246","journal-title":"Automatica"},{"key":"2511_CR26","doi-asserted-by":"crossref","unstructured":"Gondhalekar R, Dassau E, Zisser H, Doyle III (2013) F.J.:Periodic-zone model predictive control for diurnal closed-loop operation of an artificial pancreas","DOI":"10.1177\/193229681300700605"},{"key":"2511_CR27","doi-asserted-by":"publisher","first-page":"98","DOI":"10.2174\/1874120701105010098","volume":"5","author":"A Hariri","year":"2011","unstructured":"Hariri A, et al. (2011) Observer-based state feedback for enhanced insulin control of type 1 diabetic patients. The open biomedical engineering journal 5:98","journal-title":"The open biomedical engineering journal"},{"key":"2511_CR28","unstructured":"Hariri AM (2011) Identification, state estimation and adaptive control of type i diabetic patients"},{"issue":"4","key":"2511_CR29","doi-asserted-by":"publisher","first-page":"905","DOI":"10.1088\/0967-3334\/25\/4\/010","volume":"25","author":"R Hovorka","year":"2004","unstructured":"Hovorka R, Canonico V, Chassin LJ, Haueter U, Massi-Benedetti M, Federici MO, Pieber TR, Schaller HC, Schaupp L, Vering T et al (2004) Nonlinear model predictive control of glucose concentration in subjects with type 1 diabetes. Physiological measurement 25(4):905","journal-title":"Physiological measurement"},{"issue":"4-5","key":"2511_CR30","doi-asserted-by":"publisher","first-page":"557","DOI":"10.1002\/rnc.1223","volume":"18","author":"P Kaveh","year":"2008","unstructured":"Kaveh P, Shtessel YB (2008) Blood glucose regulation using higher-order sliding mode control. International Journal of Robust and Nonlinear Control:, IFAC-Affiliated Journal 18(4-5):557\u2013569","journal-title":"International Journal of Robust and Nonlinear Control:, IFAC-Affiliated Journal"},{"issue":"101","key":"2511_CR31","first-page":"603","volume":"54","author":"S Khodakaramzadeh","year":"2019","unstructured":"Khodakaramzadeh S, Batmani Y, Meskin N (2019) Automatic blood glucose control for type 1 diabetes: a trade-off between postprandial hyperglycemia and hypoglycemia. Biomedical Signal Processing and Control 54(101):603","journal-title":"Biomedical Signal Processing and Control"},{"issue":"5","key":"2511_CR32","doi-asserted-by":"publisher","first-page":"1851","DOI":"10.1016\/j.jfranklin.2012.02.011","volume":"349","author":"BS Leon","year":"2012","unstructured":"Leon BS, Alanis AY, Sanchez EN, Ornelas-Tellez F, Ruiz-Velazquez E (2012) Inverse optimal neural control of blood glucose level for type 1 diabetes mellitus patients. J Frankl Inst 349(5):1851\u20131870","journal-title":"J Frankl Inst"},{"issue":"6","key":"2511_CR33","doi-asserted-by":"publisher","first-page":"724","DOI":"10.1016\/j.bspc.2013.06.008","volume":"8","author":"F Le\u00f3n-Vargas","year":"2013","unstructured":"Le\u00f3n-Vargas F, Garelli F, De Battista H, Veh\u00ed J (2013) Postprandial blood glucose control using a hybrid adaptive pd controller with insulin-on-board limitation. Biomedical Signal Processing and Control 8(6):724\u2013732","journal-title":"Biomedical Signal Processing and Control"},{"key":"2511_CR34","doi-asserted-by":"crossref","unstructured":"Li C, Hu R (2007) Pid control based on bp neural network for the regulation of blood glucose level in diabetes. In: 2007 IEEE 7Th international symposium on bioinformatics and bioengineering, p 1168\u20131172. IEEE","DOI":"10.1109\/BIBE.2007.4375709"},{"issue":"4","key":"2511_CR35","doi-asserted-by":"publisher","first-page":"608","DOI":"10.1016\/j.jtbi.2008.02.021","volume":"252","author":"W Liu","year":"2008","unstructured":"Liu W, Tang F (2008) Modeling a simplified regulatory system of blood glucose at molecular levels. J Theor Biol 252(4):608\u2013620","journal-title":"J Theor Biol"},{"issue":"2","key":"2511_CR36","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1016\/j.bspc.2012.09.003","volume":"8","author":"K Lunze","year":"2013","unstructured":"Lunze K, Singh T, Walter M, Brendel MD, Leonhardt S (2013) Blood glucose control algorithms for type 1 diabetic patients: a methodological review. Biomedical signal processing and control 8(2):107\u2013119","journal-title":"Biomedical signal processing and control"},{"key":"2511_CR37","doi-asserted-by":"crossref","unstructured":"Maahs DM, Horton LA, Chase HP (2010) The use of insulin pumps in youth with type 1 diabetes, vol 12, pp S\u201359","DOI":"10.1089\/dia.2009.0161"},{"issue":"4","key":"2511_CR38","doi-asserted-by":"publisher","first-page":"338","DOI":"10.1016\/j.bspc.2009.04.003","volume":"4","author":"L Magni","year":"2009","unstructured":"Magni L, Raimondo DM, Dalla Man C, De Nicolao G, Kovatchev B, Cobelli C (2009) Model predictive control of glucose concentration in type i diabetic patients: an in silico trial. Biomedical Signal Processing and Control 4(4):338\u2013346","journal-title":"Biomedical Signal Processing and Control"},{"issue":"3","key":"2511_CR39","doi-asserted-by":"publisher","first-page":"136","DOI":"10.1049\/iet-syb.2018.5093","volume":"13","author":"S Mandal","year":"2019","unstructured":"Mandal S, Sutradhar A (2019) Robust multi-objective blood glucose control in type-1 diabetic patient. IET systems biology 13(3):136\u2013146","journal-title":"IET systems biology"},{"key":"2511_CR40","doi-asserted-by":"crossref","unstructured":"Mosquera-Lopez C, Dodier R, Tyler N, Resalat N, Jacobs P (2019) Leveraging a big dataset to develop a recurrent neural network to predict adverse glycemic events in type 1 diabetes IEEE journal of biomedical and health informatics","DOI":"10.1109\/JBHI.2019.2911701"},{"key":"2511_CR41","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1016\/j.jprocont.2019.08.010","volume":"86","author":"A Nath","year":"2020","unstructured":"Nath A, Deb D, Dey R (2020) An augmented subcutaneous type 1 diabetic patient modelling and design of adaptive glucose control. J Process Control 86:94\u2013105","journal-title":"J Process Control"},{"issue":"5","key":"2511_CR42","doi-asserted-by":"publisher","first-page":"219","DOI":"10.1049\/iet-syb.2017.0093","volume":"12","author":"A Nath","year":"2018","unstructured":"Nath A, Deb D, Dey R, Das S (2018) Blood glucose regulation in type 1 diabetic patients: an adaptive parametric compensation control-based approach. IET systems biology 12(5):219\u2013225","journal-title":"IET systems biology"},{"key":"2511_CR43","doi-asserted-by":"publisher","first-page":"7","DOI":"10.1016\/j.bspc.2018.07.020","volume":"47","author":"A Nath","year":"2019","unstructured":"Nath A, Dey R, Aguilar-Avelar C (2019) Observer based nonlinear control design for glucose regulation in type 1 diabetic patients: an lmi approach. Biomedical Signal Processing and Control 47:7\u201315","journal-title":"Biomedical Signal Processing and Control"},{"issue":"1","key":"2511_CR44","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s40313-019-00552-0","volume":"31","author":"HM Paiva","year":"2020","unstructured":"Paiva HM, Keller WS, da Cunha LGR (2020) Blood-glucose regulation using fractional-order pid control. Journal of Control Automation and Electrical Systems 31(1):1\u20139","journal-title":"Journal of Control Automation and Electrical Systems"},{"issue":"3-4","key":"2511_CR45","doi-asserted-by":"publisher","first-page":"258","DOI":"10.1016\/j.jprocont.2007.07.010","volume":"18","author":"CC Palerm","year":"2008","unstructured":"Palerm CC, Zisser H, Jovanovi\u010d L, Doyle III (2008) F.J.: A run-to-run control strategy to adjust basal insulin infusion rates in type 1 diabetes. Journal of process control 18(3-4):258\u2013265","journal-title":"Journal of process control"},{"issue":"2","key":"2511_CR46","doi-asserted-by":"publisher","first-page":"148","DOI":"10.1109\/10.740877","volume":"46","author":"RS Parker","year":"1999","unstructured":"Parker RS, Doyle FJ, Peppas NA (1999) A model-based algorithm for blood glucose control in type i diabetic patients. IEEE Transactions on biomedical engineering 46(2):148\u2013157","journal-title":"IEEE Transactions on biomedical engineering"},{"issue":"11","key":"2511_CR47","first-page":"779","volume":"8","author":"NT Parsa","year":"2014","unstructured":"Parsa NT, Vali A, Ghasemi R (2014) Back stepping sliding mode control of blood glucose for type i diabetes. World Academy of Science, Engineering and Technology, International Journal of Medical, Health, Biomedical Bioengineering and Pharmaceutical Engineering 8(11):779\u2013783","journal-title":"World Academy of Science, Engineering and Technology, International Journal of Medical, Health, Biomedical Bioengineering and Pharmaceutical Engineering"},{"issue":"26","key":"2511_CR48","doi-asserted-by":"publisher","first-page":"8257","DOI":"10.1021\/ie049546a","volume":"43","author":"Y Ramprasad","year":"2004","unstructured":"Ramprasad Y, Rangaiah G, Lakshminarayanan S (2004) Robust pid controller for blood glucose regulation in type i diabetics. Industrial & engineering chemistry research 43(26):8257\u20138268","journal-title":"Industrial & engineering chemistry research"},{"key":"2511_CR49","doi-asserted-by":"crossref","unstructured":"Rivadeneira PS, Godoy JL, Sereno J, Abuin P, Ferramosca A, Gonz\u00e1lez A. H. (2020) Impulsive mpc schemes for biomedical processes: application to type 1 diabetes. In: Control applications for biomedical engineering systems, p 55\u201387. Elsevier","DOI":"10.1016\/B978-0-12-817461-6.00003-2"},{"issue":"4","key":"2511_CR50","doi-asserted-by":"publisher","first-page":"473","DOI":"10.1016\/S0019-0578(07)60103-7","volume":"41","author":"JC Shen","year":"2002","unstructured":"Shen JC (2002) New tuning method for pid controller. ISA transactions 41(4):473\u2013484","journal-title":"ISA transactions"},{"key":"2511_CR51","unstructured":"Sorensen JT (1985) A physiologic model of glucose metabolism in man and its use to design and assess improved insulin therapies for diabetes. Ph.D. thesis Massachusetts Institute of Technology"},{"issue":"1","key":"2511_CR52","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1089\/dia.2005.7.94","volume":"7","author":"G Steil","year":"2005","unstructured":"Steil G, Clark B, Kanderian S, Rebrin K (2005) Modeling insulin action for development of a closed-loop artificial pancreas. Diabetes technology & therapeutics 7(1):94\u2013108","journal-title":"Diabetes technology & therapeutics"},{"issue":"1","key":"2511_CR53","doi-asserted-by":"publisher","first-page":"170","DOI":"10.1177\/1932296813514319","volume":"8","author":"J Walsh","year":"2014","unstructured":"Walsh J, Roberts R, Heinemann L (2014) Confusion regarding duration of insulin action a potential source for major insulin dose errors by bolus calculators. Journal of diabetes science and technology 8 (1):170\u2013178","journal-title":"Journal of diabetes science and technology"},{"issue":"1257","key":"2511_CR54","doi-asserted-by":"publisher","first-page":"1753","DOI":"10.1017\/aer.2018.91","volume":"122","author":"Y Wen","year":"2018","unstructured":"Wen Y, Chen L, Wang Y, Sun D, Duan D, Liu J (2018) Nonlinear dob-based explicit nmpc for station-keeping of a multi-vectored propeller airship with thrust saturation. The Aeronautical Journal 122(1257):1753\u20131774","journal-title":"The Aeronautical Journal"},{"issue":"7","key":"2511_CR55","doi-asserted-by":"publisher","first-page":"3540","DOI":"10.1109\/TIE.2013.2279353","volume":"61","author":"D Zhao","year":"2013","unstructured":"Zhao D, Liu C, Stobart R, Deng J, Winward E, Dong G (2013) An explicit model predictive control framework for turbocharged diesel engines. IEEE Trans Ind Electron 61(7):3540\u20133552","journal-title":"IEEE Trans Ind Electron"},{"key":"2511_CR56","doi-asserted-by":"crossref","unstructured":"Ziegler JG, Nichols NB et al (1942) Optimum settings for automatic controllers. trans ASME 64 (11)","DOI":"10.1115\/1.4019264"}],"container-title":["Medical &amp; Biological Engineering &amp; Computing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-022-02511-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11517-022-02511-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11517-022-02511-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,20]],"date-time":"2024-09-20T02:07:20Z","timestamp":1726798040000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11517-022-02511-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,3,10]]},"references-count":56,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2022,5]]}},"alternative-id":["2511"],"URL":"https:\/\/doi.org\/10.1007\/s11517-022-02511-5","relation":{},"ISSN":["0140-0118","1741-0444"],"issn-type":[{"value":"0140-0118","type":"print"},{"value":"1741-0444","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,3,10]]},"assertion":[{"value":"31 August 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 January 2022","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"10 March 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"<!--Emphasis Type='Bold' removed-->Competing interests"}}]}}