Publications       Rudy Negenborn
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Autonomous surface vessels in ports: Applications, technology and port infrastructures


"Autonomous Surface Vessels (ASVs) have various applications in the marine sector. However, considerable challenges need to be met before in-tegrating the applications in the current environment. Moreover, infrastructures in ports and waterways need to be upgraded to satisfy the requirements for ASV applications. To have an insight into the potential of ASVs in ports, we analyze the applications of..." [More...]

A. Devaraju, L. Chen, R.R. Negenborn. Autonomous surface vessels in ports: Applications, technology and port infrastructures. In Proceedings of the 9th International Conference on Computational Logistics (ICCL 2018), Vietri sul Mare, Italy, pp. 85-105, October 2018.   


Robust distributed predictive control of waterborne AGVs - a cooperative and cost-effective approach


"Waterborne Autonomous Guided Vessels (waterborne AGVs) moving over open waters experience environmental uncertainties. This paper proposes a novel cost-effective robust distributed control approach for waterborne AGVs. The overall system is uncertain and has independent subsystem dynamics but coupling objectives and state constraints. Waterborne AGVs determine their actions in a parallel way, whil..." [More...]

H. Zheng, R.R. Negenborn, G. Lodewijks. Robust distributed predictive control of waterborne AGVs - a cooperative and cost-effective approach. IEEE Transactions on Cybernetics, vol. 48, no. 8, pp. 2449-2461, August 2018.   


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.   


Predictive path following with arrival time awareness for waterborne AGVs


"Large ports are seeking innovative logistical ways to improve their competitiveness worldwide. This article proposes waterborne AGVs, inspired by conventional AGVs and Autonomous Surface Vessels, for transport over water. A predictive path following with arrival time awareness controller is proposed for such waterborne AGVs. The controller is able to achieve smooth tracking and energy efficiency w..." [More...]

H. Zheng, R.R. Negenborn, G. Lodewijks. Predictive path following with arrival time awareness for waterborne AGVs. Transportation Research Part C, vol. 70, pp. 214-237, September 2016.   


Life lessons from and for distributed MPC - Part 1: Dynamics of cooperation


"This paper and a second accompanying paper (Olaru et al., 2018) explore the potential of Distributed Predictive Control (DMPC) literature to provide valuable insights into social behaviour. In particular this first paper focuses on the mechanisms of group regulation in social systems. It will be noted that there are major differences between the way in which DMPC algorithms and Social Human Parti..." [More...]

P. McNamara, R.R. Negenborn, J.C. Canizares, M. Farina, J.M. Maestre, S. Olaru, P. Trodden. Life lessons from and for distributed MPC - Part 1: Dynamics of cooperation. In IFAC PapersOnline 51-30 (IFAC TECIS 2018), Baku, Azerbaijan, pp. 101-106, 2018.   


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.   


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