Rudy R. Negenborn      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:

Special issue "Computational Logistics: Coordination & Control in Logistics" / TR-E now available:
[More on Twitter]
Team & Themes

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

secretary: Patty Bokop-van der Stap
tel: +31 (0)15 27 86529


Autonomous Vessel Family

Autonomous Vessel Fleet
Interacting Vessels

Delfia-1 Star Autonomous Vessel
Delfia-1 Star

Delfia-1 Autonomous Vessel
Delfia-1 [in action]

Autonomous Amphibian Transport

SeaBax-Inside Autonomous Vessel

Outdoor Autonomous Vessels

Tito Neri Quality Care
Tito Neri Quality Care

Hybrid Tug
Hybrid Tug

Friend of the Family: WUT-1
(Wuhan University of Technology)

Vosper Perkasa
Friend of the Family: Vosper Perkasa
(Wuhan University of Technology)

Computational Logistics 2015

Computational Logistics

The people of ICCL'15

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.   

Autonomous ships -- How will they work?
How will autonomous ships work?

Distributed Model Predictive Control Made Easy   Transport of Water versus Transport over Water   Intelligent 
Infrastructures -- The Book

Research in Sketches
Synchromodal Transport

Coordination Challenges for Inland Shipping

Active topic cloud (past 3 years)

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
The Brain of TU Delft

SmartPort 2017
"Port Impact of Autonomous Ship Applications"

NWO Social & Physical Sciences 2016
"Complexity Methods for Predictive Synchromodality"

STW Perspectief 2015 Program "i-CAVE"

AIDA - Automatic Identification of Research Trends
Strategic Innovation Project AIDA:
Automatic Identification of Research Trends

GasDrive Concept
STW Water 2015 Program "GasDrive"

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

China Scholarship Council

Innovational Research Incentives Scheme
2010 VENI Grant

Journal Special Issue
Special Issue Transportation Research Part E
Computational Transport Logistics at Work
(Special issue of Transportation Research Part E)

Special Issue SWZ Maritime on Autonomous Ships
Autonomous Ships
(Special issue of SWZ Maritime 2017/02)

Special Issue SWZ Maritime on Propulsion Systems
Propulsion Systems
(Special issue of SWZ Maritime 2015/10)

Special Issue Water Prediction and Control Technology
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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