Rudy R. Negenborn      Rudy Negenborn
Assistant Professor
Transport in 2030 at Port of Rotterdam? Exciting outcomes of recent Inter Terminal Transport project now online: !

Meet young top scientist in game theory for complex infrastructures at 'Infra Draait Door' session @InfraTrends2014
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Research themes

Transport Engineering and Logistics
Dept. of Maritime and Transport Technology
Delft University of Technology
Mekelweg 2, 2628 CD  Delft
The Netherlands

tel: +31 (0) 15 27 86718
fax: +31 (0) 15 27 81397
e-mail: Click here

Room B-3-290
How to reach Faculty 3mE
How to reach my office


LOGMS - International Conference on
Logistics and Maritime Systems (LOGMS) 2014

ICNSC - International Conference on
Networking, Sensing, and Control 2014

Your Compass @ TU Delft
Current research interests:
Multi-Agent Control for Transport Networks,
Coordination within and among transport hubs

Distributed MPC Made Easy (New)
Intelligent Infrastructures -- The Book


MSc TEL/TIL project topics

Interested in a research position in control,
optimization, and transport networks?

Contact me for more info.

Recently added publications:
S. Li, R.R. Negenborn, G. Lodewijks. A distributed constraint optimization approach for vessel rotation planning. Accepted for the 5th International Conference on Computational Logistics (ICCL'14), Valparaíso, Chile, September 2014.   
H.J.L. Schroer, F. Corman, M.B. Duinkerken, R.R. Negenborn, G. Lodewijks. Evaluation of inter terminal transport configurations at Rotterdam Maasvlakte using discrete event simulation. Accepted for the Winter Simulation Conference 2014 (WSC'14), Savannah, Georgia, December 2014.   

Spotlight publications:
R.R. Negenborn, B. De Schutter, M.A. Wiering, J. Hellendoorn. Learning-based model predictive control for Markov decision processes. In Proceedings of the 16th IFAC World Congress, Prague, Czech Republic, July 2005. Paper 2106 / We-M16-TO/2.   
M. Arnold, R.R. Negenborn, G. Andersson, B. De Schutter. Multi-area predictive control for combined electricity and natural gas systems. In Proceedings of the European Control Conference 2009 (ECC'09), Budapest, Hungary, pp. 1408-1413, August 2009.   
R.R. Negenborn, A. Sahin, Z. Lukszo, B. De Schutter, M. Morari. A non-iterative cascaded predictive control approach for control of irrigation canals. In Proceedings of the 2009 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2009), San Antonio, Texas, pp. 3652-3657, October 2009.   
R.R. Negenborn, M. Houwing, B. De Schutter, J. Hellendoorn. Adaptive prediction model accuracy in the control of residential energy resources. In Proceedings of the 2008 IEEE Multi-conference on Systems and Control (MSC 2008), San Antonio, Texas, pp. 311-316, September 2008.   

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

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

multi-agent systems, model predictive control, hybrid systems
reinforcement learning, Kalman filters, learning robots

Active topic cloud (past 3 years):

Topsector Water/STW Maritime 2013
Program "ShipDrive"

Next Generation Port Infrastructures, Powered by Maasvakte 2
Inter Terminal Transport at the Port of Rotterdam

    Next Generation Port Infrastructures, Powered by Maasvakte 2
Towards guaranteed port accessibility

Innovational Research Incentives Scheme
2010 VENI Grant

       Distributed Model Predictive Control Made Easy       
Distributed Model Predictive Control Made Easy

Infrastructures -- The Book       
Intelligent Infrastructures

Infrastructures -- The Book       
Water Prediction and Control Technology
(Special issue of Journal of Hydroinformatics)

       Multi-Agent Model Predictive Control with Applications to Power 
Multi-Agent Model Predictive Control
with Applications to Power Networks

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