Rudy Negenborn Assistant Professor News: #TUDelft students TIL present solution directions for parking problems expected #Spoorzone Delft at @BVOWDelft -- http://t.co/4wqosJxuxU Inspiring discussions on Transport Over Water / Port Logistics at Transport on Tracks congress @TransportTUD -- http://t.co/E56R4PlDHl[More on Twitter] Main Publications Research themes Education Resume Personal

Transport Engineering and Logistics Dept. of Marine 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 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: Distributed MPC Made Easy (New) Intelligent Infrastructures -- The Book Publications MSc TEL/TIL project topics Interested in a research position in control, optimization, and transport networks? Contact me for more info. Recently added publications: R.R. Negenborn, J.M. Maestre. Distributed model predictive control -- An overview and roadmap of future research opportunities. Accepted for publication in IEEE Control Systems Magazine, 2014.    L. Li, R.R. Negenborn, B. De Schutter. A receding horizon approach for container flow assignment in intermodal freight transport. Accepted for publication in Journal of the Transportation Research Board, 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.    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, 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.    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.    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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