TY - JOUR AU - Aiello, Eleonora M. AU - Laffel, Lori M. AU - Patti, Mary-Elizabeth AU - Doyle, Francis J. TI - Ketone-Based Alert System for Insulin Pump Failures JF - JOURNAL OF DIABETES SCIENCE AND TECHNOLOGY J2 - J DIABETES SCI TECHNOL VL - & PY - 2023 SP - & SN - 1932-3107 DO - 10.1177/19322968231209339 UR - https://m2.mtmt.hu/api/publication/34377738 ID - 34377738 N1 - Harvard John A. Paulson School of Engineering and Applied Sciences, Harvard University, Allston, MA, United States Sansum Diabetes Research Institute, Santa Barbara, CA, United States Joslin Diabetes Center, Harvard Medical School, Boston, MA, United States Export Date: 18 December 2023 Correspondence Address: Doyle, F.J.; Harvard John A. Paulson School of Engineering and Applied Sciences, United States; email: frank_doyle@seas.harvard.edu LA - English DB - MTMT ER - TY - JOUR AU - Manzoni, Eleonora AU - Rampazzo, Mirco AU - Facchinetti, Andrea AU - Sparacino, Giovanni AU - Del Favero, Simone TI - Monitoring Statistical Properties of Kalman Filter Residuals in an Artificial Pancreas to Detect Overnight Pump Malfunctions Causing Insulin Suspension JF - CONTROL ENGINEERING PRACTICE J2 - CONTROL ENG PRACT VL - 141 PY - 2023 SN - 0967-0661 DO - 10.1016/j.conengprac.2023.105673 UR - https://m2.mtmt.hu/api/publication/34181854 ID - 34181854 N1 - Department of Information Engineering, University of Padova, Via Gradenigo 6/B, Padova35131, Italy Department of Industrial Engineering, University of Padova, Via Gradenigo 6/A, Padova35131, Italy Export Date: 18 December 2023 CODEN: COEPE Correspondence Address: Del Favero, S.; Department of Information Engineering, Via Gradenigo 6/B, Padova, Italy; email: sdelfave@dei.unipd.it LA - English DB - MTMT ER - TY - JOUR AU - Carvalho, L.D.P. AU - Palma, J.M. AU - Rosa, T.E. AU - Jayawardhana, B. AU - Costa, O.L.D.V. TI - Gain-Scheduled Fault Detection Filter for Discrete-Time LPV Systems JF - IEEE ACCESS J2 - IEEE ACCESS VL - 9 PY - 2021 SP - 143349 EP - 143365 PG - 17 SN - 2169-3536 DO - 10.1109/ACCESS.2021.3121188 UR - https://m2.mtmt.hu/api/publication/33295733 ID - 33295733 N1 - Departamento de Engenharia de Telecomunicações e Controle, Escola Politécnica Na Universidade de São Paulo, São Paulo, 05508-010, Brazil Discrete Technology and Production Automation (DTPA), Rijksuniversiteit Groningen, Groningen, 9712 CP, Netherlands Facultad de Ingeniería, Universidad de Talca-Curico, Talca, Maule, 430050, Chile Cited By :2 Export Date: 7 December 2022 Correspondence Address: Carvalho, L.D.P.; Departamento de Engenharia de Telecomunicações e Controle, Brazil; email: carvalho.lp@usp.br LA - English DB - MTMT ER - TY - JOUR AU - Meneghetti, L. AU - Facchinetti, A. AU - Favero, S.D. TI - Model-Based Detection and Classification of Insulin Pump Faults and Missed Meal Announcements in Artificial Pancreas Systems for Type 1 Diabetes Therapy JF - IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING J2 - IEEE T BIO-MED ENG VL - 68 PY - 2021 IS - 1 SP - 170 EP - 180 PG - 11 SN - 0018-9294 DO - 10.1109/TBME.2020.3004270 UR - https://m2.mtmt.hu/api/publication/31909119 ID - 31909119 N1 - Export Date: 10 March 2021 CODEN: IEBEA Correspondence Address: Favero, S.D.; Department of Information Engineering, Italy; email: sdelfave@dei.unipd.it LA - English DB - MTMT ER - TY - JOUR AU - Meneghetti, Lorenzo AU - Dassau, Eyal AU - Doyle, Francis J. AU - Del Favero, Simone TI - Machine Learning-Based Anomaly Detection Algorithms to Alert Patients Using Sensor Augmented Pump of Infusion Site Failures JF - JOURNAL OF DIABETES SCIENCE AND TECHNOLOGY J2 - J DIABETES SCI TECHNOL VL - & PY - 2021 SP - 193229682199785 SN - 1932-3107 DO - 10.1177/1932296821997854 UR - https://m2.mtmt.hu/api/publication/32077978 ID - 32077978 N1 - Department of Information Engineering, University of Padua, Padua, Italy Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, United States Cited By :1 Export Date: 7 December 2022 Correspondence Address: Del Favero, S.; Department of Information Engineering, Italy; email: sdelfave@dei.unipd.it LA - English DB - MTMT ER - TY - JOUR AU - Meneghetti, L. AU - Terzi, M. AU - Del, Favero S. AU - Susto, G.A. AU - Cobelli, C. TI - Data-Driven Anomaly Recognition for Unsupervised Model-Free Fault Detection in Artificial Pancreas JF - IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY J2 - IEEE T CONTR SYST T VL - 28 PY - 2020 IS - 1 SP - 33 EP - 47 PG - 15 SN - 1063-6536 DO - 10.1109/TCST.2018.2885963 UR - https://m2.mtmt.hu/api/publication/31909120 ID - 31909120 N1 - Department of Information Engineering, University of Padova, Padua, Italy Human Inspired Technology Research Centre, University of Padova, Padua, Italy Cited By :10 Export Date: 10 March 2021 CODEN: IETTE Correspondence Address: Del Favero, S.; Department of Information Engineering, Italy; email: simone.delfavero@dei.unipd.it LA - English DB - MTMT ER - TY - JOUR AU - Bianchi, F.D. AU - Moscoso-Vásquez, M. AU - Colmegna, P. AU - Sánchez-Peña, R.S. TI - Invalidation and low-order model set for artificial pancreas robust control design JF - JOURNAL OF PROCESS CONTROL J2 - J PROCESS CONTR VL - 76 PY - 2019 SP - 133 EP - 140 PG - 8 SN - 0959-1524 DO - 10.1016/j.jprocont.2019.02.004 UR - https://m2.mtmt.hu/api/publication/30606327 ID - 30606327 N1 - Export Date: 20 March 2019 Instituto Balseiro, CNEA, Bariloche, Argentina Instituto Tecnológico de Buenos Aires (ITBA), Argentina University of Virginia (UVA), Charlottesville, United States University of Quilmes (UNQ), Buenos Aires, Argentina CONICET, Argentina Cited By :6 Export Date: 9 March 2021 CODEN: JPCOE Correspondence Address: Sánchez-Peña, R.S.; Instituto Tecnológico de Buenos Aires (ITBA)Argentina; email: rsanchez@itba.edu.ar Instituto Balseiro, CNEA, Bariloche, Argentina Instituto Tecnológico de Buenos Aires (ITBA), Argentina University of Virginia (UVA), Charlottesville, United States University of Quilmes (UNQ), Buenos Aires, Argentina CONICET, Argentina Cited By :6 Export Date: 10 March 2021 CODEN: JPCOE Correspondence Address: Sánchez-Peña, R.S.; Instituto Tecnológico de Buenos Aires (ITBA)Argentina; email: rsanchez@itba.edu.ar Instituto Balseiro, CNEA, Bariloche, Argentina Instituto Tecnológico de Buenos Aires (ITBA), Argentina University of Virginia (UVA), Charlottesville, United States University of Quilmes (UNQ), Buenos Aires, Argentina CONICET, Argentina Cited By :7 Export Date: 28 June 2021 CODEN: JPCOE Correspondence Address: Sánchez-Peña, R.S.; Instituto Tecnológico de Buenos Aires (ITBA)Argentina; email: rsanchez@itba.edu.ar Funding details: ELAC2015/T09-1038 Funding text 1: The last three authors have been supported by Nuria (Argentina) and Cellex (Spain) Foundations and by ERANet-LAC research fund ELAC2015/T09-1038. LA - English DB - MTMT ER - TY - CHAP AU - Colmegna, Patricio AU - Garelli, Fabricio AU - De Battista, Hernán AU - Bianchi, Fernando AU - Sánchez-Peña, Ricardo S. TI - The ARG algorithm: clinical trials in Argentina T2 - The Artificial Pancreas PB - Elsevier SN - 9780128156551 PY - 2019 SP - 79 EP - 104 PG - 26 DO - 10.1016/B978-0-12-815655-1.00013-2 UR - https://m2.mtmt.hu/api/publication/31855445 ID - 31855445 N1 - Export Date: 10 March 2021 Export Date: 28 June 2021 LA - English DB - MTMT ER - TY - JOUR AU - Colmegna, P AU - Sanchez-Pena, R S AU - Gondhalekar, R TI - Linear parameter-varying model to design control laws for an artificial pancreas JF - BIOMEDICAL SIGNAL PROCESSING AND CONTROL J2 - BIOMED SIGNAL PROCES VL - 40 PY - 2018 SP - 204 EP - 213 PG - 10 SN - 1746-8094 DO - 10.1016/j.bspc.2017.09.021 UR - https://m2.mtmt.hu/api/publication/27040648 ID - 27040648 N1 - CONICET, Argentina Departamento de Ciencia y Tecnología, Universidad Nacional de Quilmes, Buenos Aires, Argentina Centro de Sistemas y Control, Instituto Tecnológico de Buenos Aires, Buenos Aires, Argentina Harvard John A. Paulson School of Engineering & Applied Sciences, Harvard University, Cambridge, MA, United States Cited By :5 Export Date: 21 December 2018 Correspondence Address: Colmegna, P.; Departamento de Ciencia y Tecnología, Universidad Nacional de QuilmesArgentina; email: patricio.colmegna@unq.edu.ar CONICET, Argentina Departamento de Ciencia y Tecnología, Universidad Nacional de Quilmes, Buenos Aires, Argentina Centro de Sistemas y Control, Instituto Tecnológico de Buenos Aires, Buenos Aires, Argentina Harvard John A. Paulson School of Engineering & Applied Sciences, Harvard University, Cambridge, MA, United States Cited By :5 Export Date: 2 January 2019 Correspondence Address: Colmegna, P.; Departamento de Ciencia y Tecnología, Universidad Nacional de QuilmesArgentina; email: patricio.colmegna@unq.edu.ar CONICET, Argentina Departamento de Ciencia y Tecnología, Universidad Nacional de Quilmes, Buenos Aires, Argentina Centro de Sistemas y Control, Instituto Tecnológico de Buenos Aires, Buenos Aires, Argentina Harvard John A. Paulson School of Engineering & Applied Sciences, Harvard University, Cambridge, MA, United States Cited By :28 Export Date: 28 June 2021 Correspondence Address: Colmegna, P.; Departamento de Ciencia y Tecnología, Argentina; email: patricio.colmegna@unq.edu.ar Funding details: Consejo Nacional de Investigaciones Científicas y Técnicas, CONICET Funding text 1: P. Colmegna and R. S. Sánchez-Peña were supported by CONICET, and by Nuria (Argentina) and Cellex (Spain) Foundations. LA - English DB - MTMT ER - TY - JOUR AU - Kölle, K. AU - Fougner, A.L. AU - Frelsøy, Unstad K.A. AU - Stavdahl, Ø. TI - Fault detection in glucose control: Is it time to move beyond CGM data? JF - IFAC PAPERSONLINE J2 - IFACOL VL - 51 PY - 2018 IS - 27 SP - 180 EP - 185 PG - 6 SN - 2405-8971 DO - 10.1016/j.ifacol.2018.11.646 UR - https://m2.mtmt.hu/api/publication/30356801 ID - 30356801 N1 - Department of Engineering Cybernetics, Norwegian University of Science and Technology, Trondheim, Norway Central Norway Regional Health Authority (RHA), Trondheim, Norway Export Date: 21 December 2018 Department of Engineering Cybernetics, Norwegian University of Science and Technology, Trondheim, Norway Central Norway Regional Health Authority (RHA), Trondheim, Norway Export Date: 2 January 2019 LA - English DB - MTMT ER - TY - CHAP AU - Meneghetti, L. AU - Terzi, M. AU - Susto, G.A. AU - Del, Favero S. AU - Cobelli, C. ED - Teel, Andrew R TI - Fault Detection in Artificial Pancreas: A Model-Free approach T2 - 57th IEEE Annual Conference on Decision and Control, CDC 2018 VL - 2018-December PB - IEEE CY - Piscataway (NJ) SN - 9781538613955 T3 - Proceedings of the IEEE Conference on Decision and Control, ISSN 0743-1546 PY - 2018 SP - 303 EP - 308 PG - 6 DO - 10.1109/CDC.2018.8619048 UR - https://m2.mtmt.hu/api/publication/31909121 ID - 31909121 N1 - et al.; MathWorks; Mitsubishi Electric Research Laboratories (MERL); Skydio; Society for Industrial and Applied Mathematics (SIAM); United Technologies Research Center (UTRC) Department of Information Engineering, University of Padova, Italy Human Inspired Technology Research Centre, University of Padova, Italy Conference code: 144492 Cited By :2 Export Date: 10 March 2021 CODEN: PCDCD LA - English DB - MTMT ER - TY - CHAP AU - Rahme, S. AU - Meskin, N. AU - Mohammadpour, J. TI - Adaptive Sliding Mode Fault Diagnosis for LPV Systems with Uncertain Scheduling Variables T2 - 2018 15th International Workshop on Variable Structure Systems (VSS) VL - 2018-July SN - 9781538664391 PY - 2018 SP - 73 EP - 78 PG - 6 DO - 10.1109/VSS.2018.8460353 UR - https://m2.mtmt.hu/api/publication/30356800 ID - 30356800 N1 - Conference code: 139771 Export Date: 21 December 2018 Conference code: 139771 Export Date: 2 January 2019 Conference code: 139771 Export Date: 3 January 2019 LA - English DB - MTMT ER - TY - JOUR AU - Howsmon, D.P. AU - Cameron, F. AU - Baysal, N. AU - Ly, T.T. AU - Forlenza, G.P. AU - Maahs, D.M. AU - Buckingham, B.A. AU - Hahn, J. AU - Bequette, B.W. TI - Continuous glucose monitoring enables the detection of losses in infusion set actuation (LISAs) JF - SENSORS J2 - SENSORS-BASEL VL - 17 PY - 2017 IS - 1 SN - 1424-8220 DO - 10.3390/s17010161 UR - https://m2.mtmt.hu/api/publication/30356803 ID - 30356803 N1 - Department of Chemical & Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, United States Stanford University School of Medicine, Stanford, CA 94305, United States Barbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, CO 80045, United States Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, United States Insulet Corporation, Billerica, MA 01821, United States Stanford University School of Medicine, Stanford, CA 94305, United States Cited By :4 Export Date: 21 December 2018 Correspondence Address: Bequette, B.W.; Department of Chemical & Biological Engineering, Rensselaer Polytechnic InstituteUnited States; email: bequette@rpi.edu Department of Chemical & Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, United States Stanford University School of Medicine, Stanford, CA 94305, United States Barbara Davis Center for Childhood Diabetes, University of Colorado Denver, Aurora, CO 80045, United States Department of Biomedical Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, United States Insulet Corporation, Billerica, MA 01821, United States Stanford University School of Medicine, Stanford, CA 94305, United States Cited By :4 Export Date: 2 January 2019 Correspondence Address: Bequette, B.W.; Department of Chemical & Biological Engineering, Rensselaer Polytechnic InstituteUnited States; email: bequette@rpi.edu LA - English DB - MTMT ER - TY - JOUR AU - Rahme, S. AU - Meskin, N. AU - Mohammadpour, J. TI - Adaptive sliding mode–based diagnosis of actuator faults for LPV systems JF - INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING J2 - INT J ADAPT CONTROL VL - 31 PY - 2017 IS - 9 SP - 1265 EP - 1272 PG - 8 SN - 0890-6327 DO - 10.1002/acs.2761 UR - https://m2.mtmt.hu/api/publication/30356802 ID - 30356802 N1 - Department of Electrical Engineering, Qatar University, Doha, Qatar School of Electrical & Computer Engineering, College of Engineering, The University of Georgia, Athens, GA 30602, United States Cited By :2 Export Date: 21 December 2018 CODEN: IACPE Correspondence Address: Meskin, N.; Department of Electrical Engineering, Qatar UniversityQatar; email: nader.meskin@qu.edu.qa Department of Electrical Engineering, Qatar University, Doha, Qatar School of Electrical & Computer Engineering, College of Engineering, The University of Georgia, Athens, GA 30602, United States Cited By :2 Export Date: 2 January 2019 CODEN: IACPE Correspondence Address: Meskin, N.; Department of Electrical Engineering, Qatar UniversityQatar; email: nader.meskin@qu.edu.qa Department of Electrical Engineering, Qatar University, Doha, Qatar School of Electrical & Computer Engineering, College of Engineering, The University of Georgia, Athens, GA 30602, United States Cited By :2 Export Date: 3 January 2019 CODEN: IACPE Correspondence Address: Meskin, N.; Department of Electrical Engineering, Qatar UniversityQatar; email: nader.meskin@qu.edu.qa LA - English DB - MTMT ER - TY - CHAP AU - Nader, Meskin AU - Amin, Salar AU - K, Khorasani TI - A Novel Affine qLPV Model Derivation Method for Fault Diagnosis H Performance Improvement T2 - American Control Conference. ACC 2015 PB - IEEE CY - Chicago, Illinois SN - 1479986852 PB - IEEE PY - 2015 SP - 823 EP - 830 PG - 8 UR - https://m2.mtmt.hu/api/publication/25224707 ID - 25224707 LA - English DB - MTMT ER - TY - CHAP AU - Casagrande, Daniele AU - Krajewski, Wieslaw AU - Viaro, Umberto TI - LPV embedding of nonlinear compartmental systems with endogenous control T2 - 2014 19th International Conference on Methods and Models in Automation and Robotics, MMAR 2014 PB - Institute of Electrical and Electronics Engineers (IEEE) SN - 9781479950812 PY - 2014 SP - 891 EP - 896 PG - 6 DO - 10.1109/MMAR.2014.6957475 UR - https://m2.mtmt.hu/api/publication/32077988 ID - 32077988 LA - English DB - MTMT ER - TY - JOUR AU - Torkestani, Javad Akbari AU - Pisheh, Elham Ghanaat TI - A learning automata-based blood glucose regulation mechanism in type 2 diabetes JF - CONTROL ENGINEERING PRACTICE J2 - CONTROL ENG PRACT VL - 26 PY - 2014 IS - 1 SP - 151 EP - 159 PG - 9 SN - 0967-0661 DO - 10.1016/j.conengprac.2014.01.010 UR - https://m2.mtmt.hu/api/publication/25224763 ID - 25224763 LA - English DB - MTMT ER - TY - JOUR AU - Khan, I U AU - Ahmad, T AU - Maan, N TI - An inverse feedback fuzzy state space modeling (FFSSM) for insulin-glucose regulatory system in humans JF - SCIENTIFIC RESEARCH AND ESSAYS J2 - SCI RES ESSAYS VL - 8 PY - 2013 IS - 25 SP - 1570 EP - 1583 PG - 14 SN - 1992-2248 DO - 10.5897/SRE12.066 UR - https://m2.mtmt.hu/api/publication/25225017 ID - 25225017 LA - English DB - MTMT ER - TY - CHAP AU - Takarics, Béla AU - Baranyi, Péter Zoltán ED - Szakál, Anikó TI - TP Type Polytopic Modelling of the Bergman Minimal Model of the Diabetes Mellitus T2 - INES 2013 – 17th International Conference on Intelligent Engineering Systems PB - IEEE CY - Budapest CY - Piscataway (NJ) SN - 9781479908301 PY - 2013 SP - 73 EP - 78 PG - 6 DO - 10.1109/INES.2013.6632786 UR - https://m2.mtmt.hu/api/publication/2503267 ID - 2503267 N1 - IEEE Industrial Electronics Society; IEEE Hungary Section; IEEE Costa Rica Section; IEEE Joint Chapter of IES and RAS; IEEE Computational Intelligence Chapter Conference code: 101322 Cited By :9 Export Date: 23 February 2021 Correspondence Address: Hungarian Academy of Sciences, , Budapest, Hungary IEEE Industrial Electronics Society; IEEE Hungary Section; IEEE Costa Rica Section; IEEE Joint Chapter of IES and RAS; IEEE Computational Intelligence Chapter Conference code: 101322 Cited By :9 Export Date: 24 February 2021 Correspondence Address: Hungarian Academy of Sciences, , Budapest, Hungary AB - The paper investigates the possibility of the Tensor Product (TP) type polytopic modelling of the quasi Linear Parameter Varying (qLPV) model formulation of the Bergman minimal model with the aim to fit the model to the modern polytopic and Linear Matrix Inequality (LMI) based control design methodologies. The paper proofs that the Higher Order Singular Value Decomposition (HOSVD) based canonical form as an exact TP type polytopic representation of the Bergman minimal model exist. The paper also determines and evaluates this TP model via TP model transformation. Various convex hulls for the Bergman minimal model were systematically constructed by TP model transformation enabling convex hull manipulation based optimisation in LMI-based control design. © 2013 IEEE. LA - English DB - MTMT ER - TY - JOUR AU - Pau, Herrero AU - Remei, Calm AU - Josep, Vehi AU - Joaquim, Armengol AU - Pantelis, Georgiou AU - Nick, Oliver AU - Christofer, Tomazou TI - Robust Fault Detection System for Insulin Pump Therapy Using Continuous Glucose Monitoring JF - JOURNAL OF DIABETES SCIENCE AND TECHNOLOGY J2 - J DIABETES SCI TECHNOL VL - 6 PY - 2012 IS - 5 SP - 1131 EP - 1141 PG - 11 SN - 1932-3107 UR - https://m2.mtmt.hu/api/publication/25224755 ID - 25224755 LA - English DB - MTMT ER - TY - JOUR AU - Sanchez Pena, R S AU - Ghersin, A S AU - Bianchi, F D TI - Time-Varying Procedures for Insulin-Dependent Diabetes Mellitus Control JF - JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING J2 - J ELECTR COMPUT ENG VL - 2011 PY - 2011 PG - 10 SN - 2090-0147 DO - 10.1155/2011/697543 UR - https://m2.mtmt.hu/api/publication/22793014 ID - 22793014 N1 - Cited By :8 Export Date: 28 June 2021 Correspondence Address: Peña, R.S.S.; Center of Systems and Control, Avenida E. Madero 399, C1106ACD, Buenos Aires, Argentina; email: rsanchez@itba.edu.ar LA - English DB - MTMT ER - TY - JOUR AU - William, A Sandham AU - Eldon, D Lehmann AU - Martha, Zequera Diaz AU - David, J Hamilton AU - Patrizio, Tatti AU - John, Walsh TI - Electrical and Computer Technology for Effective Diabetes Management and Treatment JF - JOURNAL OF ELECTRICAL AND COMPUTER ENGINEERING J2 - J ELECTR COMPUT ENG VL - 2011 PY - 2011 PG - 2 SN - 2090-0147 UR - https://m2.mtmt.hu/api/publication/25224486 ID - 25224486 LA - English DB - MTMT ER - TY - CHAP AU - György, András AU - Szalay, Péter AU - Benyó, Zoltán AU - Benyó, Balázs István AU - Kovács, Adalbert AU - Kovács, Levente ED - Szakál, A TI - ANFIS Regulated type 1diabetic model for different glucose absorption scenarios T2 - 14th International Conference on Intelligent Engineering Systems, INES 2010: Proceedings PB - IEEE CY - Piscataway (NJ) SN - 142447650X PY - 2010 SP - 327 EP - 332 PG - 6 DO - 10.1109/INES.2010.5483822 UR - https://m2.mtmt.hu/api/publication/2654396 ID - 2654396 N1 - Budapest University of Technology and Economics, Budapest, Hungary Dept. of Mathematics, Politehnica University of Timisoara, Timisoara, Romania Conference code: 81156 Cited By :3 Export Date: 14 July 2021 Correspondence Address: György, A.; Budapest University of Technology and Economics, Budapest, Hungary; email: gyorgya@iit.bme.hu AB - The human blood glucose system is one of the most important systems of the human body, as energy transport is fulfilled through this complex endocrine control process. Because of its great importance, many models were published, most of them with phenomenological approach. The current paper focuses on a new molecular model published recently which is capable of describing the normal blood glucose household. Type 1 diabetes can be modeled by transforming the original model, then soft computing based controller is designed. Rough rule base is generated with subtractive clustering which is later followed by its refinement by parameter tuning. As a result, an Adaptive Neuro-Fuzzy Inference System (ANFIS) is designed. A simple absorption model is presented in order to test the designed controller for different absorption curves. Simulation results are in accordance with the behavior of the healthy human blood glucose system. LA - English DB - MTMT ER - TY - JOUR AU - Kovács, Levente AU - Benyó, Zoltán AU - Kovács, Adalbert AU - Benyó, Balázs István TI - New principles and adequate robust control methods for artificial pancreas JF - STUDIES IN COMPUTATIONAL INTELLIGENCE J2 - STUD COMP INTELLIG VL - 313 PY - 2010 SP - 75 EP - 86 PG - 12 SN - 1860-949X DO - 10.1007/978-3-642-15220-7_7 UR - https://m2.mtmt.hu/api/publication/2659581 ID - 2659581 N1 - Computational Intelligence in Engineering Edited by:Rudas, IJ (Rudas, IJ) ; Fodor, J (Fodor, J) ; Kacprzyk, J (Kacprzyk, J) ISBN978-3-642-15219-1 Berlin, Heidelberg: Springer-Verlag,2010 Dept. of Control Engineering and Information Technology, Budapest University of Technology and Economics, Magyar tudósok krt. 2, Budapest, H-1117, Hungary Dept. of Mathematics, University Politehnica of Timisoara, P-ta Victoriei Nr. 2, Timişoara Romania, RO-300006, Romania Cited By :4 Export Date: 14 July 2021 Correspondence Address: Kovács, L.; Dept. of Control Engineering and Information Technology, Magyar tudósok krt. 2, Budapest, H-1117, Hungary; email: lkovacs@iit.bme.hu Funding details: Hungarian Scientific Research Fund, OTKA, 82066 LA - English DB - MTMT ER - TY - CHAP AU - Kovács, Levente AU - Paláncz, Béla AU - Borbély, Endre AU - Benyó, Zoltán AU - Benyó, Balázs István TI - Robust Control Techniques and its Graphical Representation in case of Type I Diabetes using Mathematica T2 - 2010 IEEE 8th International Symposium on Applied Machine Intelligence and Informatics PB - IEEE CY - New York, New York SN - 9781424464234 PY - 2010 SP - 71 EP - 75 PG - 5 DO - 10.1109/SAMI.2010.5423765 UR - https://m2.mtmt.hu/api/publication/2651462 ID - 2651462 N1 - Budapest University of Technology and Economics, Hungary Óbudai University, Hungary Conference code: 80008 Cited By :3 Export Date: 14 July 2021 Correspondence Address: Kovács, L.; Budapest University of Technology and EconomicsHungary; email: lkovacs@iit.bme.hu AB - The case study presents modern robust control methods of the Bergman minimal model [1] of Type I diabetic patients under intensive care using computer algebra: the disturbance rejection LQ control or minimax control (as extension of the classical LQ control) and the robust H∞ control. It is shown the minimax control has limitations in practice, but employing reduced Gröbner basis on rational field, it is possible to approximate the theoretical solution and so getting a better solution than LQ does. The symbolic and numeric computations were carried out with Mathematica 5.2 and with its CSPS Application, as well as with MATLAB 6.5. In case of H∞ control, the graphical method in frequency domain – implemented under Mathematica by [2] – is extended with a disturbance rejection constraint and the robustness of the resulted high-order linear controller is demonstrated by nonlinear closed loop simulation in state-space, in case of standard meal disturbances. LA - English DB - MTMT ER - TY - BOOK ED - Rudas, Imre ED - Fodor, János ED - Kacprzyk, Janusz TI - Computational Intelligence in Engineering T3 - Studies in Computational Intelligence, ISSN 1860-949X ; 313. ET - 0 PB - Springer Netherlands CY - Berlin CY - Heidelberg PY - 2010 SP - 350 SN - 3642152198 DO - 10.1007/978-3-642-15220-7 UR - https://m2.mtmt.hu/api/publication/2235619 ID - 2235619 LA - English DB - MTMT ER - TY - CHAP AU - Sanchez Pena, R S AU - Ghersin, A S TI - LPV control of glucose for Diabetes type I T2 - 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) PB - IEEE Computer Society CY - Piscataway (NJ) SN - 9781424441242 PB - IEEE Press PY - 2010 SP - 680 EP - 683 PG - 4 DO - 10.1109/IEMBS.2010.5626217 UR - https://m2.mtmt.hu/api/publication/23071058 ID - 23071058 LA - English DB - MTMT ER - TY - CHAP AU - Kovács, Levente AU - Benyó, Balázs István AU - Benyó, Zoltán AU - Kovács, Adalbert ED - Szakál, Anikó TI - Past and present of automatic glucose-insulin control research at BME T2 - 10th International Symposium of Hungarian Researchers on Computational Intelligence and Informatics : CINTI 2009 PB - Magyar Fuzzy Társaság CY - Budapest SN - 9637154965 PY - 2009 SP - 245 EP - 252 PG - 8 UR - https://m2.mtmt.hu/api/publication/2649551 ID - 2649551 AB - The paper reviews the research results in the field of automatic control of Type I diabetes mellitus obtained by the Biomedical Engineering laboratory of the Control Engineering and Inforamtion Technology Department, Budapest University of Technology and Economics (BME) in the last years. Beside the past, the present and the future ideas are also numbered. LA - English DB - MTMT ER - TY - CHAP AU - Kovács, Levente AU - György, András AU - Benyó, Balázs István AU - Benyó, Zoltán AU - Kovács, Adalbert ED - Szakál, Anikó TI - Soft computing control of Type 1 diabetes described at molecular levels T2 - SACI 2009: Proceedings of the 5th International Symposium on Applied Computational Intelligence and Informatics PB - IEEE CY - New York, New York SN - 1424444772 PY - 2009 SP - 99 EP - 104 PG - 6 DO - 10.1109/SACI.2009.5136220 UR - https://m2.mtmt.hu/api/publication/2150892 ID - 2150892 N1 - Budapest University of Technology and Economics, Dept. of Control Engineering and Information Technology, Budapest, Hungary Politehnica University of Timisoara, Dept. of Mathematics, Timisoara, Romania Conference code: 77551 Cited By :2 Export Date: 14 July 2021 Correspondence Address: Kovács, L.; Budapest University of Technology and Economics, , Budapest, Hungary; email: lkovacs@iit.bme.hu AB - The blood glucose system is one of the most important systems of the human body, since energy transport is fulfilled through this complex endocrine control process. Because of its great importance (in case of failure, its primary consequence diabetes mellitus appears), many models were published, most of them with phenomenological approach. The current paper focuses on a new molecular model published recently [1]. By modifying it to model the failure of pancreatic insulin secretion that characterizes Type 1 diabetes mellitus, soft computing based controller is designed. Rough rule base is generated with subtractive clustering which is followed by its refinement by parameter tuning. As a result, an Adaptive Neuro-Fuzzy Inference System (ANFIS) is created. Simulation results are in accordance with the behavior of the healthy human blood glucose system. LA - English DB - MTMT ER - TY - THES AU - Péni, T TI - Feedback design methods for cooperative and contrained control problems PY - 2009 SP - 117 UR - https://m2.mtmt.hu/api/publication/22793146 ID - 22793146 N1 - CDCCOM rossz helyre irt hivatkozás LA - English DB - MTMT ER - TY - JOUR AU - Péni, Tamás AU - Kulcsar, Balazs AU - Bokor, József TI - Included L2 norm improvement by interpolating controllers for discrete-time LPV systems. JF - EUROPEAN JOURNAL OF CONTROL J2 - EUR J CONTROL VL - 15 PY - 2009 IS - 5 SP - 545 EP - 559 PG - 15 SN - 0947-3580 DO - 10.3166/EJC.15.545-559 UR - https://m2.mtmt.hu/api/publication/166236 ID - 166236 N1 - WoS:hiba:000270851300007 2019-11-11 18:59 cím nem egyezik LA - English DB - MTMT ER - TY - CHAP AU - Kovács, Levente AU - Kulcsar, Balazs AU - Bokor, József AU - Benyó, Zoltán TI - Model-based nonlinear optimal blood glucose control of type I diabetes patients T2 - 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08, Vols 1-8 PB - Institute of Electrical and Electronics Engineers (IEEE) CY - Vancouver SN - 1424418151 T3 - Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, ISSN 1557-170X PY - 2008 SP - 1607 EP - 1610 PG - 4 DO - 10.1109/IEMBS.2008.4649480 UR - https://m2.mtmt.hu/api/publication/1173186 ID - 1173186 N1 - WoS:hiba:000262404501001 2019-11-11 20:14 befoglaló egyiknél nincsenek szerzők, befoglaló cím nem egyezik Dep. of Control Engineering and Information Technology, Budapest University of Technology and Economics, 1117, Hungary Delft Center for System and Control, Faculty of Mechanical, Maritime and Materials Engineering, Technical University of Delft, 2628CD, Netherlands Computer and Automation Research Institute, Hungarian Sciences Academy, Budapest, 1111, Hungary Conference code: 75336 Cited By :18 Export Date: 14 July 2021 Correspondence Address: Kovács, L.; Dep. of Control Engineering and Information Technology, , 1117, Hungary; email: lkovacs@iit.bme.hu Chemicals/CAS: insulin, 9004-10-8; Blood Glucose; Insulin LA - English DB - MTMT ER - TY - GEN AU - Péni, T AU - Kulcsár, B AU - Bokor, J TI - Constraint H∞ control for discrete-time LPV systems by interpolating among linear feedback gains PY - 2008 UR - https://m2.mtmt.hu/api/publication/23691232 ID - 23691232 LA - English DB - MTMT ER - TY - CHAP AU - Kovács, Levente AU - Paláncz, Béla AU - Benyó, Zoltán ED - Martin, L. Yarmush TI - Design of Luenberger Observer for Glucose-Insulin Control via Mathematica T2 - EMBC07 - 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society PB - IEEE CY - Piscataway (NJ) SN - 9781424407880 T3 - PROCEEDINGS OF ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERINGIN MEDICINE AND BIOLOGY SOCIETY, ISSN 1094-687X PY - 2007 SP - 624 EP - 627 PG - 4 DO - 10.1109/IEMBS.2007.4352367 UR - https://m2.mtmt.hu/api/publication/2614437 ID - 2614437 N1 - WoS:hiba:000253467000159 2020-08-27 03:51 típus nem egyezik ACIES, Research Promotion and Management Consulting; EOARD, European Office of Aerospace R and D; Grand Lyon; NSF, National Science Foundation; Philips Research Europe; Philips Research North America Dep. of Control Engineering and Information Technology, Budapest University of Technology and Economics, 1117, Hungary Dep. of Photogrammetry and Geoinformatics, Budapest University of Technology and Economics, 1111, Hungary Conference code: 70818 Cited By :10 Export Date: 14 July 2021 CODEN: CEMBA Correspondence Address: Kovács, L.; Dep. of Control Engineering and Information Technology, , 1117, Hungary; email: lkovacs@iit.bme.hu Chemicals/CAS: insulin, 9004-10-8; Blood Glucose; Insulin AB - Many articles dealing with insulin-glucose control have been published in the last decades, and they mostly assumed that all the system state variables are available for feedback. However, this is not usually the case, or they are not so cheap in practice as blood glucose measurements are. In this paper the use of the reduced-order estimator (also known as the Luenberger observer) is considered in symbolic form employing Polynomial Control System Application of Mathematica for the three-state minimal Bergman model, [1], as this can be used to reconstruct those state variables that are hard to be recovered directly from the system outputs: remote compartment insulin and plasma insulin. Nonlinear closed loop simulations with H2/H∞ control (disturbance rejection LQ method) showed that the observer, which is faster than the system itself, can provide a very good state recovery performance. LA - English DB - MTMT ER - TY - JOUR AU - Kovács, Levente AU - Paláncz, Béla TI - Glucose-insulin control of Type1 diabetic patients in H2/H∞ space via Computer Algebra JF - LECTURE NOTES IN COMPUTER SCIENCE J2 - LNCS VL - 4545 PY - 2007 SP - 95 EP - 109 PG - 15 SN - 0302-9743 DO - 10.1007/978-3-540-73433-8_8 UR - https://m2.mtmt.hu/api/publication/2150819 ID - 2150819 N1 - Megjegyzés. Eds.: BE Anai, HHorimoto, KKutsia, 2nd International Conference on Algebraic Biology, AB 2007 Conference code: 70868 Cited By :26 Export Date: 14 July 2021 Correspondence Address: Kovács, L.; Department of Control Engineering and Information Technology, Magyar tudósok krt. 2, H-1117, Budapest, Hungary; email: lkovacs@iit.bme.hu AB - This article presents the H2/Hinf control (disturbance rejection LQ method) of the Bergman minimal model [1] for Type1 diabetic patients under intensive care using computer algebra. To design the optimal controller, the disturbance rejection LQ method based on the minimax differential game is applied. The critical, minimax value of the scaling parameter gamma_crit is determined by using the Modified Riccati Control Algebraic (MCARE) equation employing reduced Groebner basis solution on rational field. The numerical results are in good agreement with those of the Control Toolbox of MATLAB. It turned out, that in order to get positive definite solution stabilizing the closed loop, should be greater than gamma_crit. The obtained results are compared with the classical LQ technique on the original non-linear system, using a standard meal disturbance situation. It is also demonstrated that for gamma >> gamma_crit, the gain matrix approaches the traditional LQ optimal control design solution. The symbolic and numerical computations were carried out with Mathematica 5.2, and with the CSPS Application 2, as well as with MATLAB 6.5. LA - English DB - MTMT ER - TY - CHAP AU - Kovács, Levente AU - Kulcsar, Balazs AU - Benyó, Zoltán ED - Szakál, A TI - On The Use Of Robust Servo Control In Diabetes Under Intensive Care T2 - Proceedings of the 3rd Romanian-Hungarian Joint Symposium on Applied Computational Intelligence PB - IEEE Hungary Section CY - Budapest SN - 9637154469 PY - 2006 SP - 236 EP - 247 PG - 12 UR - https://m2.mtmt.hu/api/publication/2249516 ID - 2249516 AB - The robust servo control of a model-based biomedical application, namely the glucose-insulin control of diabetes patients under intensive care, is presented in the paper. The synthesis and analysis is based on a modified two compartment Bergman model and realized with a two degree of freedom controller structure permitting to assure insulin tracking. The augmented Δ − P − K structure is described with the necessary weighting functions. A non-conservative complex μ-synthesis method is applied. Using the controller, not only the robust stability is met under multiplicative uncertainty, but also the nominal performance i.e. the disturbance rejection is fulfilled. Food (sugar) intake is considered as disturbance. Closed loop simulation results are edged for optimizing the insulin amount. LA - English DB - MTMT ER - TY - JOUR AU - Paláncz, Béla AU - Kovács, Levente TI - Control in H2/Hinf space via Computer Algebra JF - THE MATHEMATICA JOURNAL J2 - MATH J VL - 1 PY - 2006 SP - 1 EP - 26 PG - 26 SN - 1047-5974 UR - https://m2.mtmt.hu/api/publication/25225002 ID - 25225002 LA - English DB - MTMT ER -