Design and control of hybrid power and propulsion systems for smart ships: A review of developments RD Geertsma, RR Negenborn, K Visser, JJ Hopman Applied energy 194, 30-54, 2017 | 645 | 2017 |
Distributed model predictive control: An overview and roadmap of future research opportunities RR Negenborn, JM Maestre IEEE Control Systems Magazine 34 (4), 87-97, 2014 | 422 | 2014 |
Distributed model predictive control made easy JM Maestre, RR Negenborn Springer, 2014 | 380 | 2014 |
Ship collision avoidance methods: State-of-the-art Y Huang, L Chen, P Chen, RR Negenborn, P Van Gelder Safety science 121, 451-473, 2020 | 378 | 2020 |
Demand response with micro-CHP systems M Houwing, RR Negenborn, B De Schutter Proceedings of the IEEE 99 (1), 200-213, 2010 | 315 | 2010 |
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 | 294 | 2008 |
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 | 286 | 2009 |
A comparative analysis of distributed MPC techniques applied to the HD-MPC four-tank benchmark I Alvarado, D Limon, DM De La Peņa, JM Maestre, MA Ridao, H Scheu, ... Journal of Process Control 21 (5), 800-815, 2011 | 261 | 2011 |
Robot localization and kalman filters R Negenborn Utrecht Univ., Utrecht, Netherlands, Master's thesis INF/SCR-0309, 2003 | 181 | 2003 |
Multi-agent model predictive control with applications to power networks RR Negenborn | 176 | 2007 |
Ship energy management for hybrid propulsion and power supply with shore charging M Kalikatzarakis, RD Geertsma, EJ Boonen, K Visser, RR Negenborn Control Engineering Practice 76, 133-154, 2018 | 162 | 2018 |
Kalman filter-based distributed predictive control of large-scale multi-rate systems: Application to power networks S Roshany-Yamchi, M Cychowski, RR Negenborn, B De Schutter, ... IEEE Transactions on Control Systems Technology 21 (1), 27-39, 2011 | 154 | 2011 |
Model-based predictive control applied to multi-carrier energy systems M Arnold, RR Negenborn, G Andersson, B De Schutter 2009 IEEE power & energy society general meeting, 1-8, 2009 | 134 | 2009 |
Trajectory tracking of autonomous vessels using model predictive control H Zheng, RR Negenborn, G Lodewijks IFAC Proceedings Volumes 47 (3), 8812-8818, 2014 | 129 | 2014 |
Distributed model predictive control for vessel train formations of cooperative multi-vessel systems L Chen, H Hopman, RR Negenborn Transportation Research Part C: Emerging Technologies 92, 101-118, 2018 | 126 | 2018 |
Dynamic anti-collision A-star algorithm for multi-ship encounter situations Z He, C Liu, X Chu, RR Negenborn, Q Wu Applied Ocean Research 118, 102995, 2022 | 119 | 2022 |
Intermodal freight transport planning–A receding horizon control approach L Li, RR Negenborn, B De Schutter Transportation Research Part C: Emerging Technologies 60, 77-95, 2015 | 119 | 2015 |
Synchromodal container transportation: an overview of current topics and research opportunities B van Riessen, RR Negenborn, R Dekker Computational Logistics: 6th International Conference, ICCL 2015, Delft, The …, 2015 | 118 | 2015 |
Dynamic optimization of ship energy efficiency considering time-varying environmental factors K Wang, X Yan, Y Yuan, X Jiang, X Lin, RR Negenborn Transportation Research Part D: Transport and Environment 62, 685-698, 2018 | 104 | 2018 |
Energy-aware control for automated container terminals using integrated flow shop scheduling and optimal control J Xin, RR Negenborn, G Lodewijks Transportation Research Part C: Emerging Technologies 44, 214-230, 2014 | 101 | 2014 |