Rudy Negenborn Full Professor Main Publications Team & Themes Education Resume Personal

Science in pictures To the point: Ship energy management for hybrid propulsion and power supply with shore charging "Hybrid technology in marine vehicles can significantly reduce fuel consumption and local CO2 emissions. It has been applied successfully to several ship-types, mostly with conventional, rule-based, strategies. To further improve performance, intelligent control strategies are necessary. This work, inspired by automotive research in Energy Management Strategies, applies the Equivalent Consumption M..." [More...] 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.    Hybrid model predictive control using time-instant optimization for the Rhine-Meuse Delta "In order to provide safety against high sea water levels, in many low-lying countries on the one hand dunes are maintained at a certain safety level and dikes are built, while on the other hand large control structures that can be dynamically controlled are constructed. Currently, these structures are often operated purely locally, without coordination on actions between different structures. Auto..." [More...] H. van Ekeren, R.R. Negenborn, P.J. van Overloop, B. De Schutter. Hybrid model predictive control using time-instant optimization for the Rhine-Meuse Delta. In Proceedings of the 2011 IEEE International Conference on Networking, Sensing and Control (ICNSC 2011), Delft, The Netherlands, pp. 216-221, April 2011.    Centralization or decentralization: A comparative analysis of port regulation modes "This paper studies the comparison of two kinds of port regulation modes - the centralization mode and the decentralization mode - using principal-agent theory and dynamic game theory. The optimal tariffs, port capacities and port efficiency levels under these two regulation modes are determined. The theoretical results are applied to the container terminals in Port of Shanghai in China. Sensitivit..." [More...] S. Zheng, R.R. Negenborn. Centralization or decentralization: A comparative analysis of port regulation modes. Transportation Research Part E: Logistics and Transportation Review, vol. 69, pp. 21-40, September 2014.    Intermodal freight transport planning - A receding horizon control approach "This paper investigates intermodal freight transport planning problems among deep-sea terminals and inland terminals in hinterland haulage for a horizontally fully integrated intermodal freight transport operator at the tactical container flow level. An intermodal freight transport network (IFTN) model is first developed to capture the key characteristics of intermodal freight transport such as t..." [More...] L. Li, R.R. Negenborn, B. De Schutter. Intermodal freight transport planning - A receding horizon control approach. Transportation Research Part C, vol. 60, pp. 77-95, 2015.    Hybrid model predictive control using time-instant optimization for the Rhine-Meuse Delta "In order to provide safety against high sea water levels, in many low-lying countries on the one hand dunes are maintained at a certain safety level and dikes are built, while on the other hand large control structures that can be dynamically controlled are constructed. Currently, these structures are often operated purely locally, without coordination on actions between different structures. Auto..." [More...] H. van Ekeren, R.R. Negenborn, P.J. van Overloop, B. De Schutter. Hybrid model predictive control using time-instant optimization for the Rhine-Meuse Delta. In Proceedings of the 2011 IEEE International Conference on Networking, Sensing and Control (ICNSC 2011), Delft, The Netherlands, pp. 216-221, April 2011.    Efficient multi-scenario model predictive control for water resources management with ensemble streamflow forecasts "Model Predictive Control (MPC) is one of the most advanced real-time control techniques that has been widely applied to water resources management (WRM). MPC can manage the water system in a holistic manner and has a flexible structure to incorporate specific elements, such as setpoints and constraints. Therefore, MPC has shown its versatile performance in many branches of WRM. Nonetheless, with t..." [More...] X. Tian, R.R. Negenborn, P.J. van Overloop, J.M. Maestre, A. Sadowska, N. van de Giesen. Efficient multi-scenario model predictive control for water resources management with ensemble streamflow forecasts. Advances in Water Resources, vol. 109, pp. 58-68, 2017.    Even more to the point:

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