Bart De Schutter

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Hans HellendoornHoogleraar regeltechniek, TU DelftVerified email at tudelft.nl
Robert BabuskaProfessor, Delft University of Technology, Czech Technical University PragueVerified email at tudelft.nl
Ton van den boomAssociate professor, Delft University of TechnologyVerified email at tudelft.nl
Rudy R. NegenbornFull professor, Delft University of TechnologyVerified email at tudelft.nl
Andreas HegyiDelft University of TechnologyVerified email at tudelft.nl
De Moor BartKU Leuven ESAT-StadiusVerified email at esat.kuleuven.be
Lucian BusoniuProfessor and Group Lead, Automation Department, Technical University of Cluj-NapocaVerified email at aut.utcluj.ro
Alfredo Núñez VicencioAssociate Professor on Intelligent Railway Infrastructure, TUDelftVerified email at tudelft.nl
Yihui WangBeijing Jiaotong UniversityVerified email at bjtu.edu.cn
Zsofia LendekTechnical University of Cluj-NapocaVerified email at aut.utcluj.ro
Maurice HeemelsFull Professor Eindhoven University of TechnologyVerified email at tue.nl
Simone BaldiProfessor at Southeast University / Visiting prof. at TU DelftVerified email at tudelft.nl
Shu LinAssociate Professor of Computer and Contol Engineering, University of Chinese Academy of SciencesVerified email at ucas.ac.cn
Tamas KeviczkyDelft Center for Sytems and Control, Delft University of TechnologyVerified email at tudelft.nl
Michel VerhaegenProfessor Systems and Control, Delft University of TechnologyVerified email at tudelft.nl
Damien ErnstProfessor of Electrical Engineering and Computer Science, ULiège - University of LiègeVerified email at ulg.ac.be
Jesus LagoAmazonVerified email at amazon.com
Minh Dang DoanUniversity of FreiburgVerified email at doan.vn
L. D. BaskarDelft university of technologyVerified email at sharethis.com
Alberto BemporadProfessor of Control Systems, IMT Lucca, ItalyVerified email at imtlucca.it

Bart De Schutter

full professor. hybrid control and intelligent transportation systems, Delft University of

Verified email at tudelft.nl - Homepage

control of large-scale systems multi-agent multi-level control hybrid systems machine learning transportation networks


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A comprehensive survey of multiagent reinforcement learning L Busoniu, R Babuska, B De Schutter IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2008	2305	2008
Reinforcement learning and dynamic programming using function approximators L Busoniu, R Babuska, B De Schutter, D Ernst CRC press, 2017	1174	2017
Equivalence of hybrid dynamical models WPMH Heemels, B De Schutter, A Bemporad Automatica 37 (7), 1085-1091, 2001	929	2001
Model predictive control for optimal coordination of ramp metering and variable speed limits A Hegyi, B De Schutter, H Hellendoorn Transportation Research Part C: Emerging Technologies 13 (3), 185-209, 2005	736	2005
Multi-agent reinforcement learning: An overview L Buşoniu, R Babuška, B De Schutter Innovations in multi-agent systems and applications-1, 183-221, 2010	728	2010
Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms J Lago, F De Ridder, B De Schutter Applied Energy 221, 386-405, 2018	497	2018
Optimal coordination of variable speed limits to suppress shock waves A Hegyi, B De Schutter, J Hellendoorn IEEE Transactions on intelligent transportation systems 6 (1), 102-112, 2005	469	2005
Model predictive control for max-plus-linear discrete event systems B De Schutter, T Van Den Boom Automatica 37 (7), 1049-1056, 2001	410	2001
Stability analysis and nonlinear observer design using Takagi-Sugeno fuzzy models Z Lendek, TM Guerra, R Babuska, B De Schutter Springer Berlin Heidelberg, 2011	399	2011
DAISY: A database for identification of systems B De Moor, P De Gersem, B De Schutter, W Favoreel JOURNAL A 38 (4), 5, 1997	376	1997
Development of advanced driver assistance systems with vehicle hardware-in-the-loop simulations O Gietelink, J Ploeg, B De Schutter, M Verhaegen Vehicle System Dynamics 44 (7), 569-590, 2006	362	2006
Deep convolutional neural networks for detection of rail surface defects S Faghih-Roohi, S Hajizadeh, A Núñez, R Babuska, B De Schutter 2016 International joint conference on neural networks (IJCNN), 2584-2589, 2016	324	2016
Demand response with micro-CHP systems M Houwing, RR Negenborn, B De Schutter Proceedings of the IEEE 99 (1), 200-213, 2011	303	2011
Multi-agent model predictive control for transportation networks: Serial versus parallel schemes RR Negenborn, B De Schutter, J Hellendoorn Engineering Applications of Artificial Intelligence 21 (3), 353-366, 2008	303	2008
Residential demand response of thermostatically controlled loads using batch reinforcement learning F Ruelens, BJ Claessens, S Vandael, B De Schutter, R Babuška, ... IEEE Transactions on Smart Grid 8 (5), 2149-2159, 2016	292	2016
Optimal traffic light control for a single intersection B De Schutter, B De Moor European Journal of Control 4 (3), 260-276, 1998	283	1998
Distributed model predictive control of irrigation canals. RR Negenborn, PJ van Overloop, T Keviczky, B De Schutter Networks Heterog. Media 4 (2), 359-380, 2009	270	2009
Accelerated gradient methods and dual decomposition in distributed model predictive control P Giselsson, MD Doan, T Keviczky, B De Schutter, A Rantzer Automatica 49 (3), 829-833, 2013	264	2013
Model predictive control for ramp metering of motorway traffic: A case study T Bellemans, B De Schutter, B De Moor Control Engineering Practice 14 (7), 757-767, 2006	242	2006
Minimal state-space realization in linear system theory: an overview B De Schutter Journal of computational and applied mathematics 121 (1-2), 331-354, 2000	238	2000

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