Rudy R. Negenborn      Rudy Negenborn
Assistant Professor
Catullus in #manbijthond ! Lees hier zijn werk in meer dan 30 talen --

Transport Research Part E special issue on Coordination for Transport Logistics, to be based on ICCL'15 contributions
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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


ICCL'15 - International Conference on
Computational Logistics (ICCL) 2015
Delft, The Netherlands

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

Transport of Water versus Transport over Water (New)
Distributed MPC Made Easy
Intelligent Infrastructures -- The Book


MSc TEL/TIL project topics

Recently added publications:
J. Xin, R.R. Negenborn, G. Lodewijks. Energy-efficient container handling using hybrid model predictive control. Accepted for publication in International Journal of Control, 2015.   
R.R. Negenborn, D.L. Schott, F. Corman. Port equipment and technology. To appear in Encyclopedia of Marine & Offshore Engineering (J. Carlton, P. Jukes, Y.S. Choo, eds.), Wiley, 2015.   
S. Li, H. Zheng, R.R. Negenborn, G. Lodewijks. Coordination for efficient transport over water. Accepted for the 19th IEEE International Conference on Computer Supported Cooperative Work in Design (IEEE CSCWD'15), Calabria, Italy, May 2015.   
F. Corman, R.R. Negenborn. Accessibility of ports and networks. To appear in Ports and Networks - Strategies, Operations and Perspectives (H. Geerlings, B.S. Kuipers, R.A. Zuidwijk, eds.), Edward Elgar Publishers, 2015.   
J. Xin, R.R. Negenborn, G. Lodewijks. Event-driven receding horizon control for energy-efficient container handling. Control Engineering Practice, vol. 39, pp. 45-55, June 2015.   

Spotlight publications:
S. Leirens, C. Zamora, R.R. Negenborn, B. De Schutter. Coordination in urban water supply networks using distributed model predictive control. In Proceedings of the 2010 American Control Conference (ACC'10), Baltimore, Maryland, pp. 3957-3962, June 2010.   
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.   
R.R. Negenborn, P.J. van Overloop, B. De Schutter. Coordinated distributed model predictive reach control of irrigation canals. In Proceedings of the European Control Conference 2009 (ECC'09), Budapest, Hungary, pp. 1420-1425, August 2009.   
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.   

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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