Rudy R. Negenborn      Rudy Negenborn
Full Professor, Head of Section
Latest news:
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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: No vacancies at this moment. Check back later.

Inauguration Speech
on communication, logistics, autonomous ships, and multi-machine engineering

"What if ships could talk?", or: Coordination for Real-Time Logistics
[Watch the public presentation online]

Spotlight publication

Supervisory nonlinear MPC for emergency voltage control using pattern search

"The design of a higher-layer controller using model predictive control (MPC) is considered. The higher-layer controller uses MPC to determine set-points for controllers in a lower control layer. In this paper the use of an object-oriented model of the system for making predictions is proposed. When employing such an object-oriented prediction model the MPC problem is a nonlinear, non-smooth optimi..." [More...]

R.R. Negenborn, S. Leirens, B. De Schutter, J. Hellendoorn. Supervisory nonlinear MPC for emergency voltage control using pattern search. Control Engineering Practice, vol. 17, no. 7, pp. 841-848, July 2009.   

Publications: [Recent] [All] [In pictures] [Control & Coordination] [Transport Logistics]

Recently added publications
K. Wang, J. Li, X. Yan, L. Huang, X. Jiang, Y. Yuan, R. Ma, R.R. Negenborn. A novel bi-level distributed dynamic optimization method of ship fleets energy consumption. Accepted for publication in Ocean Engineering, 2019.   
L. Wang, Q. Wu, J. Liu, S. Li, R.R. Negenborn. State-of-the-art research on motion control of maritime autonomous surface ships. Journal of Marine Science and Engineering, vol. 7, no. 12, December 2019. Open access..   
S. Xie, V. Garofano, X. Chu, R.R. Negenborn. Model predictive ship collision avoidance based on Q-learning beetle swarm antenna search and neural networks. Ocean Engineering, vol. 193, no. 106609, December 2019.   
S. Li, J. Liu, R.R. Negenborn, F. Ma. Optimizing the joint collision avoidance operations of multiple ships from an overall perspective. Ocean Engineering, vol. 191 (2019), no. 106511, 2019.   
L. Chen, J.J. Hopman, R.R. Negenborn. Distributed model predictive control for cooperative floating object transport with multi-vessel systems. Ocean Engineering, vol. 191 (2019), no. 106515, 2019.   

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

Interreg 2 Seas:
"ISHY: Implementation of Ship Hybridisation"
A multi-machine engineering perspective

H2020 EU.3.2.5 2017:
Cross-cutting marine and maritime research:
"Space@Sea -- Transport & Logistics"

"Impulse Autonomous Shipping for Amsterdam 2018"

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

AIDA -- The Booklet
AIDA -- The Booklet -- Automatic Research Positioning & Trend Identification
Automatic Research Positioning
& Trend Identification

Journal Special Issues
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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