Rudy Negenborn Assistant Professor News: Int. Conf. on Computational Logistics 2015, Delft- Welcoming contributions on advances in logistics (dl: April 1) http://t.co/KD3d7mHrXz ICCL'15 -- Computational Logistics Call for Papers now available: http://t.co/Df3ldcZxyG -- Full paper submission deadline: April 1, 2015[More on Twitter] Main Publications Research themes Education Resume Personal

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 LinkedIn Twitter 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 Books: Transport of Water versus Transport over Water (New) Distributed MPC Made Easy Intelligent Infrastructures -- The Book Publications MSc TEL/TIL project topics Recently added publications: 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. Accepted for publication in Control Engineering Practice, 2015.    X. Tian, R.R. Negenborn, P.J. van Overloop, J.M. Maestre, E. Mostert. Model predictive control for incorporating transport of water and transport over water in the dry season. To appear in Transport of Water versus Transport over Water (C. Ocampo-Martinez, R.R. Negenborn, eds.), Springer, pp. 20, 2015.    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.    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, 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.    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.    Keywords: 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" Inter Terminal Transport at the Port of Rotterdam [More...]      Towards guaranteed port accessibility [More...] Innovational Research Incentives Scheme 2010 VENI Grant [More...]                Distributed Model Predictive Control Made Easy                Intelligent Infrastructures                Water Prediction and Control Technology (Special issue of Journal of Hydroinformatics)                Multi-Agent Model Predictive Control with Applications to Power Networks

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