| 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 | 585 | 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 | 399 | 2014 |
| Distributed model predictive control made easy JM Maestre, RR Negenborn Springer, 2014 | 383 | 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 | 320 | 2020 |
| Demand response with micro-CHP systems M Houwing, RR Negenborn, B De Schutter Proceedings of the IEEE 99 (1), 200-213, 2010 | 307 | 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 | 288 | 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 | 278 | 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 | 253 | 2011 |
| Multi-agent model predictive control with applications to power networks RR Negenborn | 175 | 2007 |
| Robot localization and kalman filters R Negenborn Utrecht Univ., Utrecht, Netherlands, Master's thesis INF/SCR-0309, 2003 | 174 | 2003 |
| 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 | 152 | 2011 |
| 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 | 150 | 2018 |
| 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 | 131 | 2009 |
| 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 | 117 | 2018 |
| Trajectory tracking of autonomous vessels using model predictive control H Zheng, RR Negenborn, G Lodewijks IFAC Proceedings Volumes 47 (3), 8812-8818, 2014 | 117 | 2014 |
| 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 | 110 | 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 | 107 | 2015 |
| Distributed predictive control for energy hub coordination in coupled electricity and gas networks M Arnold, RR Negenborn, G Andersson, B De Schutter Intelligent Infrastructures, 235-273, 2010 | 98 | 2010 |
| 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 | 97 | 2014 |
| Centralization or decentralization: A comparative analysis of port regulation modes S Zheng, RR Negenborn Transportation Research Part E: Logistics and Transportation Review 69, 21-40, 2014 | 93 | 2014 |
