Rudy R. Negenborn       Rudy Negenborn
Full Professor, Head of Section
Team & Themes

Publications: All, in pictures, or by area of interest:
multi-agent systems, model predictive control, hybrid systems

logistics, intermodal transport, container transport
transport over water, control of ships, sustainability

transportation networks, inter-terminal transport
water networks, power networks, gas networks

Category: Sustainability
35.A. Haseltalab, F. Wani, R.R. Negenborn. Multi-level model predictive control for all-electric ships with hybrid power generation. International Journal of Electrical Power and Energy Systems, vol. 135, no. 107484, February 2022. Open access.   
34.J. Xin, C. Meng, A. D'Ariano, D. Wang, R.R. Negenborn. Mixed-integer nonlinear programming for energy-efficient container handling: formulation and customized genetic algorithm. Transactions on Intelligent Transportation Systems, 2021. Early access online.   
33.A. Haseltalab, L. van Biert, H.D. Shapra, B.T.W. Mestemaker, R.R. Negenborn. Component sizing and energy management for SOFC-based ship power systems. Energy Conversion and Management, vol. 245, no. 114625, October 2021. Open access.   
32.X. Wang, U. Shipurkar, A. Haseltalab, H. Polinder, F. Claeys, R.R. Negenborn. Sizing and control of a hybrid ship propulsion system using multi-objective double-layer optimization. IEEE Access, vol. 9, pp. 72587-72601, 2021. Open access.   
31.K. Wang, H. Xu, J. Li, L. Huang, R. Ma, X. Jiang, Y. Yuan, N.A. Mwero, P. Sun, R.R. Negenborn, X. Yan. A novel dynamical collaborative optimization method of ship energy consumption based on a spatial and temporal distribution analysis of voyage data. Applied Ocean Research, vol. 112, no. 102657, July 2021.   
30.A. Haseltalab, L. van Biert, B.T.W. Mestemaker, R.R. Negenborn. Energy management for hybrid power generation using solid oxide fuel cell. In Proceedings of the 2020 International Ship Control Systems Symposium (iSCSS 2020), Delft, The Netherlands, October 2020. 8 pp. Open access.   
29.M. Dalmijn, B. Atasoy, P. Bijl, R.R. Negenborn. Charge scheduling of electric vehicles for last-mile distribution of an e-grocer. In Proceedings of the 2020 Forum on Integrated and Sustainable Transportation Systems (ISTS2020), Delft, The Netherlands, pp. 236-241, June-July 2020.   
28.K. Wang, J. Li, L. Huang, R. Ma, X. Jiang, Y. Yuan, N.A. Mwero, R.R. Negenborn, P. Sun, X. Yan. A novel method for joint optimization of the sailing route and speed considering multiple environmental factors for more energy efficient shipping. Ocean Engineering, vol. 216, no. 107591, November 2020.   
27.A. Haseltalab, M. Ayala Botto, R.R. Negenborn. Model predictive DC voltage control for all-electric ships. Control Engineering Practice, vol. 90, pp. 133-147, September 2019.   
26.L. Chen, A. Haseltalab, V. Garofano, R.R. Negenborn. Eco-VTF: Fuel-efficient vessel train formations for all-electric autonomous ships. In Proceedings of the 2019 European Control Conference (ECC'19), Naples, Italy, pp. 2543-2550, June 2019.   
25.A. Haseltalab, R.R. Negenborn. Model predictive maneuvering control and energy management for all-electric autonomous ships. Applied Energy, vol. 251, no. 113308, pp. 1-27, October 2019.   
24.X. Yan, K. Wang, Y. Yuan, X. Jiang, R.R. Negenborn. Energy-efficient shipping: An application of big data analysis for optimizing engine speed of inland ships considering multiple environmental factors. Ocean Engineering, vol. 169, pp. 457-468, 2018.   
23.R.D. Geertsma, K. Visser, R.R. Negenborn. Adaptive pitch control for ships with diesel mechanical and hybrid propulsion. Applied Energy, vol. 228, pp. 2490-2509, 2018. Open Access.   
22.M. Kalikatzarakis, R.D. Geertsma, E.J. Boonen, K. Visser, R.R. Negenborn. Ship energy management for hybrid propulsion and power supply with shore charging. Control Engineering Practice, vol. 76, pp. 133-154, July 2018.   
21.A. Haseltalab, M. Ayala Botto, R.R. Negenborn. On-board voltage regulation for all-electric DC ships. In Proceedings of the 11th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles (CAMS2018), Opatija, Croatia, pp. 341-347, September 2018.   
20.K. Wang, X. Jiang, X. Yan, Y. Yuan, R.R. Negenborn. Development of an integrated operational system to reduce O&M cost of offshore wind farms based on big data platform. In Proceedings of the 4th International Conference on Maritime Technology and Engineering (Martech 2018), Lisbon, Portugal, pp. 469-474, May 2018.   
19.K. Wang, X. Yan, Y. Yuan, X. Jiang, X. Lin, R.R. Negenborn. Dynamic optimization of ship energy efficiency considering time-varying environmental factors. Transportation Research Part D: Transport and Environment, vol. 62, pp. 685-698, July 2018.   
18.R.D. Geertsma, R.R. Negenborn, K. Visser, J.J. Hopman. Pitch control for ships with diesel mechanical and hybrid propulsion: Modelling, validation and performance quantification. Applied Energy, vol. 206, pp. 1609-1631, 2017.   
17.R.D. Geertsma, R.R. Negenborn, K. Visser, J.J. Hopman. A quantitative comparison of hybrid diesel-electric and gas-turbine- electric propulsion for future frigates. In Proceedings of the 2017 IEEE Electric Ship Technologies Symposium (ESTS 2017), Arlington, Virginia, pp. 451-458, August 2017.   
16.K. Wang, X. Yuan, Y. Yuan, X. Jiang, G. Lodewijks, R.R. Negenborn. Study on route division for ship energy efficiency optimization based on big environment data. In Proceedings of the 2017 IEEE International Conference on Transportation Information and Safety (IEEE ICTIS 2017), Banff, Canada, pp. 111-116, August 2017.   
15.R.D. Geertsma, R.R. Negenborn, K. Visser, J.J. Hopman. Parallel control for hybrid propulsion of multifunction ships. In Proceedings of the 20th IFAC World Congress (IFAC 2017 WC), Toulouse, France, pp. 2332-2339, July 2017.   
14.A. Haseltalab, R.R. Negenborn. Predictive on-board power management for all-electric ships with DC distribution architecture. In Proceedings of Oceans'17 MTS/IEEE (OCEANS'17), Aberdeen, Scotland, June 2017. 8pp.   
13.R.D. Geertsma, R.R. Negenborn, K. Visser, J.J. Hopman. Design and control of hybrid power and propulsion systems for smart ships: A review of developments. Applied Energy, vol. 194, pp. 30-54, 2017. Open Access.   
12.A. Haseltalab, R.R. Negenborn, G. Lodewijks. Multi-level predictive control for energy management of hybrid ships in the presence of uncertainty and environmental disturbances. In Proceedings of the 14th IFAC Symposium on Control in Transportation Systems (IFAC CTS 2016), Istanbul, Turkey, pp. 90-95, May 2016.   
11.R.D. Geertsma, R.R. Negenborn, K. Visser, J.J. Hopman. Torque control for diesel mechanical and hybrid propulsion on naval vessels. In Proceedings of the 13th International Naval Engineering Conference and Exhibition 2016 (INEC 2016), Bristol, UK, pp. 476-492, April 2016.   
10.J.H.R. van Duin, H. Geerlings, J. Froese, R.R. Negenborn. Towards a benchmarking method of energy consumption at terminals. International Journal of Transport Development and Integration, vol. 1, no. 2, pp. 212-224, 2017.   
9.J. Xin, R.R. Negenborn, G. Lodewijks. Energy-efficient container handling using hybrid model predictive control. International Journal of Control, vol. 88, no. 11, pp. 2327-2346, June 2015.   
8.J. Xin, R.R. Negenborn, G. Lodewijks. Event-driven receding horizon control for energy-efficient container handling. Control Engineering Practice, vol. 39, pp. 45-55, June 2015.   
7.J. Xin, R.R. Negenborn, G. Lodewijks. Energy-aware control for automated container terminals using integrated flow shop scheduling and optimal control. Transportation Research Part C, vol. 44, pp. 214-230, July 2014.   
6.J. Xin, R.R. Negenborn, G. Lodewijks. Hybrid MPC for balancing throughput and energy consumption in an automated container terminal. In Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems (IEEE ITSC 2013), The Hague, The Netherlands, pp. 1238-1244, October 2013.   
5.J.L. Nabais, R.R. Negenborn, M.A. Botto. Model Predictive Control for a Sustainable Transport Modal Split at Intermodal Container Hubs. In Proceedings of the 2013 IEEE International Conference on Networking, Sensing and Control (ICNSC'13), Paris, France, April 2013. Paper 146.   
4.L. Ramirez-Elizondo, G.C. Paap, R. Ammerlaan, R.R. Negenborn, R. Toonssen. On the energy, exergy and cost optimization of multi-energy-carrier power systems. International Journal of Exergy, vol. 13, no. 3, pp. 364-386, October 2013.   
3.M. Houwing, R.R. Negenborn, B. De Schutter. Demand response with micro-CHP systems. Proceedings of the IEEE, vol. 99, no. 1, pp. 200-213, January 2011.   
2.P.J. van Overloop, R.R. Negenborn, S.V. Weijs, W. Malda, M.R. Bruggers, B. De Schutter. Linking water and energy objectives in lowland areas through the application of model predictive control. In Proceedings of the 2010 IEEE International Conference on Control Applications (2010 CCA), Yokohama, Japan, pp. 1887-1891, September 2010.   
1.M. Arnold, R.R. Negenborn, G. Andersson, B. De Schutter. Distributed Predictive Control for Energy Hub Coordination in Coupled Electricity and Gas Networks. In Intelligent Infrastructures (R.R. Negenborn, Z. Lukszo, H. Hellendoorn, eds.), Springer, Dordrecht, The Netherlands, pp. 235-273, 2010.