Publications       Rudy Negenborn
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Planning inland vessel operations in large seaports using a two-phase approach


"Inland vessels are often used to transport containers between large sea ports and the hinterland. Each time a vessel arrives in such a port, it typically visits several terminals to load and unload containers. In the Port of Rotterdam, the largest port in Europe, there are 77,000 inland vessels that have moored in the port in 2014 for transporting cargo. With the significant growth of containerize..." [More...]

S. Li, R.R. Negenborn, G. Lodewijks. Planning inland vessel operations in large seaports using a two-phase approach. Computers and Industrial Engineering, vol. 106, pp. 41-57, April 2017.   


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.   


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.   


Distributed model predictive control -- An overview and roadmap of future research opportunities


"This is a position article on the current state of the art in distributed Model Predictive Control (MPC) and our view on its future potential. We present results from a recent survey of 35 distributed MPC approaches. For this, we propose a way in which distributed MPC approaches can be categorized for comparison. We also link the potential that these approaches have to the domain of other fields s..." [More...]

R.R. Negenborn, J.M. Maestre. Distributed model predictive control -- An overview and roadmap of future research opportunities. IEEE Control Systems Magazine, vol. 34, no. 4, pp. 87-97, August 2014.   


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.   


Fast ADMM for distributed model predictive control of cooperative Waterborne AGVs


"This article proposes a distributed predictive path following controller with arrival time awareness for multiple waterborne AGVs applied to Inter Terminal Transport (ITT). The goal is to design an efficient cooperative distributed algorithm that solves local problems in parallel and minimizes an overall objective. We model the ITT problem using waterborne AGVs with independent dynamics and object..." [More...]

H. Zheng, R.R. Negenborn, G. Lodewijks. Fast ADMM for distributed model predictive control of cooperative Waterborne AGVs. IEEE Transactions on Control Systems Technology, vol. 25, no. 4, pp. 1406-1413, July 2017.   


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