Rudy Negenborn Associate Professor Director of Studies MSc TIL Latest news: Potential CSC PhD applicants with interest in distributed control for autonomous ships invited to express interest: https://t.co/wzgogQBkAi Special issue "Computational Logistics: Coordination & Control in Logistics" / TR-E now available: https://t.co/1f9BI2sMWy[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 Assistant Professor, 1 PhD, and 1 Post-Doc vacancy now open for application Spotlight publication Vulnerabilities in Lagrange-based distributed model predictive control "In this paper, we present an analysis of the vulnerability of a distributed model predictive control scheme. A distributed system can be easily attacked by a malicious agent that modifies the reliable information exchange. We consider different types of so-called insider attacks. In particular, we analyze a controller that is part of the control architecture that sends false information to others ..." [More...] P. Velarde, J.M. Maestre, H. Ishii, R.R. Negenborn. Vulnerabilities in Lagrange-based distributed model predictive control. Accepted for publication in Optimal Control Applications and Methods, 2017.    Publications: [Recent] [All] [In pictures] [Control & Coordination] [Transport Logistics] Recently added publications C. Liu, R.R. Negenborn, X. Chu, H. Zheng. Predictive path following based on adaptive line-of-sight for underactuated autonomous surface vessels. Accepted for publication in Journal of Marine Science and Technology, 2018.    X. Lin, R.R. Negenborn, M.B. Duinkerken, G. Lodewijks. Reducing lost sales and spoilage in cut rose logistics: Modeling and control of fast moving perishable goods. Accepted for the 2018 Transportation Research Board Annual Meeting (TRB'18), Washington, D.C., January 2018.    S. Li, R.R. Negenborn. Stimulating inland waterway transport between seaports and the hinterland from a coordination perspective. Accepted for the 2018 Transportation Research Board Annual Meeting (TRB'18), Washington, D.C., January 2018.    R.D. Geertsma, R.R. Negenborn, K. Visser, J.J. Hopman. Pitch control for ships with diesel mechanical and hybrid propulsion: Modelling, validation and performance quantification. Accepted for publication in Applied Energy, 2018.    X. Tian, R.R. Negenborn, P.J. van Overloop, J.M. Maestre, A. Sadowska, N. van de Giesen. Efficient multi-scenario model predictive control for water resources management with ensemble streamflow forecasts. Advances in Water Resources, vol. 109, pp. 58-68, 2017.    [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 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...] Journal Special Issue 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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