Plenary lectures
Data Mining et Machine Learning dans les Big Data, une tentative de démystification. Ioan Doré LANDAU is Emeritus Research Director at C.N.R.S.(National Center for Scientific Research) and works at the GIPSA-LAB(CNRS/INPG), Control Department, Institut National Polytechnique de Grenoble. His research interests encompass theory and applications in system identification, adaptive control, robust digital control and nonlinear systems. He has authored and co-authored over 200 papers on these subjects. He is the author and co-author of several books including: Adaptive Control - The Model Reference Appoach (Dekker 1979), System Identification and Control Design (Hermès 1993, Prentice Hall 1990), Digital Control Systems (Springer 2005, Hermes-Lavoisier 2002) and co-author of the books Adaptive Control - Theory and Practice (in Japanese -Ohm 1981) (with M. Tomizuka), Adaptive Control (Springer 1997, 2011 ) (with R. Lozano and M. M’Saad) and Adaptive and Robust Active Vibration Control (Springer, 2016) (with T.B. Airimitoiae, A. Castellanos, and A. Constantinescu).
Dr. Landau is an IFAC Fellow. He was the recipient of the Rufus Oldenburger Medal 2000 from the American Society of Mechanical Engineers, the Great Gold Medal at Invention Exhibition Vienna (1968), the CNRS Silver Medal (1982) and the Price Monpetit from the French Academy of Science (1990). He is “Doctor Honoris Causa” of the Faculté des Sciences, Université Catholique de Louvain-la-Neuve (2003) and of the University «Politehnica », Bucarest, 2017.
Le Modèle dans la conception des systèmes de régulation et de moniroting: "Du modèle de connaissance au modèle comportemental (... de la physique au "data")". Serge Le Gonidec started his career in 1986 at the “Société Européenne de Propulsion” in a support team “control, measurement and command system” on the engine test benches of the Ariane launcher. In the early 90’, the Ariane 5 program gave him the opportunity to work on the test bench control engineering (flow control, tank pressurization, turbine speed, etc.). These new A5 test benches allowed introducing the digital control and its generalization for the engine or components tested under a high safety level. In 1994, he joined the team of the System department. His activities were mainly oriented on the future control and on the system stability analyses for the system developments. After 1997, he has contributed to the engine design (e.g. Vinci) or evolution (e.g. Vulcain2) deploying the linear Multi-variable Predicted Control. In the same time, in relation with ESA or CNES, he worked on R&T activities dedicated to the engine control and the Health Monitoring System. These activities were a support to the future launchers preparation and paved the way to the reusable launchers, control and monitoring interaction / IVHM / AFTC, … He is currently member of the General Inspection team.
Estimation and System Identification for Cyber-Physical Power Systems. Luigi Vanfretti (IEEE S'03–M'10–SM'13) received the Electrical Engineering degree from Universidad de San Carlos de Guatemala, Guatemala City, Guatemala, in 2005. He was also a Visiting Researcher with The University of Glasgow, Glasgow, Scotland, in 2005. He obtained the M.Sc. and Ph.D. degrees in electric power engineering from Rensselaer Polytechnic Institute, Troy, NY, USA, in 2007 and 2009, respectively. For his research and teaching work toward his Ph.D. degree, he was awarded the Charles M. Close Award from Rensselaer Polytechnic Institute. He was with KTH Royal Institute of Technology, Stockholm, Sweden, as Assistant 2010-2013), and Associate Professor (Tenured) and Docent (2013-2017/August); where he established the SmarTS Lab and research group. During this period, he was also with Statnett SF, the Norwegian electric power transmission system operator, as consultant (2011 - 2012), and Special Advisor in Strategy and in R&D (2013 – 2016). He joined Rensselaer Polytechnic Institute, Troy, NY in August 2017, to continue to develop his research agenda which aims to apply system identification through the model-based system engineering approach in cyber-physical systems with his new laboratory and research team ALSETLab: http://alsetlab.com/ During June-August 2019 he was Visiting Faculty at the King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, performing research and teaching. During his time in Europe, Dr. Vanfretti was institutional PI for several European Flagship projects, including: ITEA3 Open Cyber-Physical System Model-Driven Certified Development (opencps.eu), the FP7 IDE4L (Ideal Grid for All, https://cordis.europa.eu/result/rcn/196576/en) and the FP7 iTesla (Innovative Tools for Electrical System Security within Large Areas, https://cordis.europa.eu/project/rcn/101320/factsheet/en) projects. He is currently institutional PI for the NASA University Leadership Innitiative Center for Cryogenic High-Efficiency Electrical Technologies for Aircraft which develops model-based fully electrical aircraft concepts, the GridX project Funded by the Center of Excellence for NEOM Research at King Abdullah University of Science and Technology, Saudi Arabia, which focuses on develop autonomy for microgrid operation, and several projects funded by the New York State Research and Development Agency dealing with modeling, inverter controls, and machine learning applications for power grids. Dr. Vanfretti was elected into the Modelica Association and the Board of the North American Modelica Users’ Group in 2019 for his contributions in the evangelization and use of the Modelica language and Functional Mock Up interface standards. In addition, from 2009 to 2014, he served as Vice-Chair of the IEEE PES CAMS Task Force on Open Source Software. He is an advocate and evangelist for free/libre and open-source software, member of the Open Source Modelica Consortium (OSCM) and Associate Member of the Free Software Foundation. He also served from 2009 to 2016 in the IEEE Power Engineering Society (PES) PSDP Working Group on Power System Dynamic Measurements, in different capacities, including as Chair from 2014-016. His research interests are in cyber-physical modeling, simulation, stability and control; with applications to power grids and transport electrification. |
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