Rudy Negenborn Full Professor Director of Studies MSc TIL Latest news: PostDoc @TUDelft "Coordination & control for logistics on modular floating transport hubs" now open for application… https://t.co/wbjaZZPM82 Autonomous Vessel Trains?! New publication by Linying Chen et al. explores vessel train formations of cooperative m… https://t.co/GJ3e5DtFmX[More on Twitter] Main Publications Team & 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 Room B-3-300 How to reach Faculty 3mE How to reach my office tel: +31 (0) 15 27 86718 fax: +31 (0) 15 27 81397 contact form: Click here e-mail: r.r.negenborn@tudelft.nl secretary: Patty Bokop-van der Stap tel: +31 (0)15 27 86529 LinkedIn Twitter Autonomous Vessel Family Interacting Vessels Delfia-1 Star Delfia-1 [in action] Delfia-Amphibian SeaBax-Inside SeaBax-Outside Tito Neri Quality Care Hybrid Tug Friend of the Family: WUT-1 (Wuhan University of Technology) Friend of the Family: Vosper Perkasa (Wuhan University of Technology) Computational Logistics 2015 ICCL'15 - International Conference on Computational Logistics (ICCL) 2015 Delft, The Netherlands Main research interests: Coordination within and among transport hubs 4S Framework: Real-time coordination of Smart Equipment in Smart Hubs for Smart Ports in Smart Networks Anticipating the Massive introduction of Sensing, Computation, and Communication Technologies       Vacancies: 1 post-doc vacancy and tenure track faculty position open for application Spotlight publication Distributed model predictive control for cooperative synchromodal freight transport "This paper investigates cooperative synchromodal freight transport planning among multiple intermodal freight transport operators in different and interconnected service networks. The cooperative planning is formulated as a cooperative model predictive container flow control problem, and solved with three Distributed Model Predictive Flow Control (DMPFC) approaches: the parallel and serial Augment..." [More...] L. Li, R.R. Negenborn, B. De Schutter. Distributed model predictive control for cooperative synchromodal freight transport. Transportation Research Part E: Logistics and Transportation Review, vol. 105, pp. 240-260, September 2017.    Publications: [Recent] [All] [In pictures] [Control & Coordination] [Transport Logistics] Recently added publications A. Haseltalab, M. Ayala Botto, R.R. Negenborn. On-board voltage regulation for all-electric DC ships. Accepted for the 11th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles (CAMS2018), Opatija, Croatia, September 2018.    K. Wang, X. Jiang, X. Yan, Y. Yuan, R.R. Negenborn. Development of an integrated operational system to reduce O&M cost of offshore wind farms based on big data platform. In Proceedings of the 4th International Conference on Maritime Technology and Engineering (Martech 2018), Lisbon, Portugal, pp. 469-474, May 2018.    X. Lin, R.R. Negenborn, G. Lodewijks. Predictive quality-aware control for scheduling of potato starch production. Computers and Electronics in Agriculture, vol. 150, pp. 266-278, July 2018.    L. Chen, J.J. Hopman, R.R. Negenborn. Distributed model predictive control for vessel train formations of cooperative multi-vessel systems. Transportation Research Part C: Emerging Technologies, vol. 92, pp. 101-118, July 2018.    M. Kalikatzarakis, R.D. Geertsma, E.J. Boonen, K. Visser, R.R. Negenborn. Ship energy management for hybrid propulsion and power supply with shore charging. Control Engineering Practice, vol. 76, pp. 133-154, July 2018.    [More...] Infographics How will autonomous ships work? Books        Research in Sketches [More...] Active topic cloud (past 3 years) 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 The Brain of TU Delft H2020 EU.3.2.5 2017: Cross-cutting marine and maritime research: "Space@Sea -- Transport & Logistics" SmartPort 2017 "Port Impact of Autonomous Ship Applications" NWO Social & Physical Sciences 2016 "Complexity Methods for Predictive Synchromodality" (COMET-PS) STW Perspectief 2015 Program "i-CAVE" Strategic Innovation Project AIDA: Automatic Identification of Research Trends STW Water 2015 Program "GasDrive" 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...] AIDA -- The Booklet Automatic Research Positioning & Trend Identification Journal Special Issues Computational Transport Logistics at Work (Special issue of Transportation Research Part E) Autonomous Ships (Special issue of SWZ Maritime 2017/02) Propulsion Systems (Special issue of SWZ Maritime 2015/10) Water Prediction and Control Technology (Special issue of Journal of Hydroinformatics) Videos on Inter Terminal Transport Opportunities for Real-Time Coordination Automated MTS and waterborne AGVs as solution?

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