Publications       Rudy Negenborn
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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.   


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. Accepted for the 9th International Conference on Computational Logistics (ICCL 2018), Vietri sul Mare, Italy, 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.   


Survey on autonomous surface vessels: Part II - Categorization of 60 prototypes and future applications


"Autonomous Surface Vessels (ASVs) have been developed for more than 20 years. Many ASV projects have been successfully realized, and as many are still under development. In literature there is a lack in research about different applications and suitable environments for the deployment of ASV. In our previous paper [44], we introduced the emerging concept of autonomous vessels. A multi-layer multi-..." [More...]

M. Schiaretti, L. Chen, R.R. Negenborn. Survey on autonomous surface vessels: Part II - Categorization of 60 prototypes and future applications. In Proceedings of the 8th International Conference on Computational Logistics (ICCL 2017), Southampton, UK, pp. 234-252, October 2017.   


Survey on autonomous surface vessels: Part II - Categorization of 60 prototypes and future applications


"Autonomous Surface Vessels (ASVs) have been developed for more than 20 years. Many ASV projects have been successfully realized, and as many are still under development. In literature there is a lack in research about different applications and suitable environments for the deployment of ASV. In our previous paper [44], we introduced the emerging concept of autonomous vessels. A multi-layer multi-..." [More...]

M. Schiaretti, L. Chen, R.R. Negenborn. Survey on autonomous surface vessels: Part II - Categorization of 60 prototypes and future applications. In Proceedings of the 8th International Conference on Computational Logistics (ICCL 2017), Southampton, UK, pp. 234-252, October 2017.   


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.   


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