متابعة
Bart De Schutter
Bart De Schutter
full professor & head of department, Delft Center for Systems and Control
بريد إلكتروني تم التحقق منه على tudelft.nl - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
29262008
Reinforcement learning and dynamic programming using function approximators‏
L Busoniu, R Babuska, B De Schutter, D Ernst‏
CRC press, 2017‏
13052017
Multi-agent reinforcement learning: An overview‏
L Buşoniu, R Babuška, B De Schutter‏
Innovations in multi-agent systems and applications-1, 183-221, 2010‏
10652010
Equivalence of hybrid dynamical models‏
WPMH Heemels, B De Schutter, A Bemporad‏
Automatica 37 (7), 1085-1091, 2001‏
9832001
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
8112005
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
7102018
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
5212005
Stability analysis and nonlinear observer design using Takagi-Sugeno fuzzy models‏
Z Lendek, TM Guerra, R Babuska, B De Schutter‏
Springer Berlin Heidelberg, 2011‏
4662011
Model predictive control for max-plus-linear discrete event systems‏
B De Schutter, T Van Den Boom‏
Automatica 37 (7), 1049-1056, 2001‏
4322001
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
4312016
Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark‏
J Lago, G Marcjasz, B De Schutter, R Weron‏
Applied Energy 293, 116983, 2021‏
4262021
DAISY: A database for identification of systems‏
B De Moor, P De Gersem, B De Schutter, W Favoreel‏
JOURNAL A 38 (4), 5, 1997‏
4251997
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
4122006
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
3662016
Demand response with micro-CHP systems‏
M Houwing, RR Negenborn, B De Schutter‏
Proceedings of the IEEE 99 (1), 200-213, 2011‏
3212011
Optimal traffic light control for a single intersection‏
B De Schutter, B De Moor‏
European Journal of Control 4 (3), 260-276, 1998‏
3061998
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
2982013
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
2952008
Distributed model predictive control of irrigation canals‏
RR Negenborn, PJ van Overloop, T Keviczky, B De Schutter‏
Networks and heterogeneous media 4 (2), 359-380, 2009‏
2872009
Forecasting day-ahead electricity prices in Europe: The importance of considering market integration‏
J Lago, F De Ridder, P Vrancx, B De Schutter‏
Applied energy 211, 890-903, 2018‏
2692018
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مقالات 1–20