Prof.dr. R.R. (Rudy) Negenborn
Prof.dr. R.R. (Rudy) Negenborn
Profile
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Biography
Prof.dr. Rudy Negenborn is full professor "Multi-Machine Operations & Logistics" at TU Delft within the Department of Marine and Transport Technology, 3mE, TU Delft. His more fundamental research interests are in the areas of distributed control, multi-agent systems, model predictive control, and optimization. He applies the developed theories to address control problems in large-scale transportation and logistic systems.
Rudy Negenborn received the MSc degree in computer science from Utrecht University in 2003, and the PhD degree from the Delft Center for Systems and Control of Delft University of Technology in 2007. The research of his PhD project involved multi-agent model predictive control with applications to transport networks in general and power networks in particular. After finishing his PhD project, Rudy was appointed as post-doctoral researcher in Delft, at the same center for systems and control, performing research on control of large-scale water networks. In addition, he edited the book Intelligent Infrastructures, Distributed Model Predictive Control Made Easy (2014), and Transport Of Water versus Transport Over Water (2015), and obtained an NWO/STW VENI grant and several other research grants from 2010 onwards.
Expertise
Currently, prof.dr. Negenborn's focus is on (real-time/operational) control for improving the coordination inside and among transport hubs.
In addition, he has extensive experience in control of water infrastructures and smart grid energy systems.
Projects
Click here for the full list of projects I'm involved in.
Expertise
Publications
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2022
A Collaborative Berth Planning Approach for Disruption Recovery
X. Lyu / R.R. Negenborn / Xiaoning Shi / F. Schulte
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2022
A Lagrangian Relaxation Heuristic Approach for Coordinated Global Intermodal Transportation
Wenjing Guo / Rudy R. Negenborn / Bilge Atasoy
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2022
A Learning-Based Optimization Approach for Autonomous Ridesharing Platforms with Service-Level Contracts and On-Demand Hiring of Idle Vehicles
Breno A. Beirigo / Frederik Schulte / Rudy R. Negenborn
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2022
A Multi-Sensory Switching-stable Architecture for Distributed Fault Tolerant Propulsion Control of Marine Vessels
N. Kougiatsos / R.R. Negenborn / V. Reppa
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2022
A business class for autonomous mobility-on-demand
Modeling service quality contracts in dynamic ridesharing systems
B. Alves Beirigo / R.R. Negenborn / Javier Alonso-Mora / Frederik Schulte -
Media
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2021-11-27
NOVIMOVE - behavioral models for improving the transport over water
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2020-08-31
Robot boats leave autonomous cars in their wake
Appeared in: International Shipping News
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2020-02-24
Europees onderzoeksprogramma: meer lading naar Bazel mogelijk
Appeared in: Binnenvaartkrant
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2019-03-18
TU Delft werkt aan zelf varende schepen
Appeared in: Omroepwest.nl
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2017-03-13
Alle hens aan dek. De opkomst van de autonome scheepvaart
Appeared in: De Ingenieur, jaargang 129, nr. 3 (2017)
Ancillary activities
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2022-11-01 - 2024-11-01