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| Scientific areas of
interest |
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Hybrid systems, multi-agent
systems, model
predictive
control, water networks, power networks,
transportation
networks, kalman
filters, reinforcement
learning,
... |
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PhD Thesis |
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Journal publications |
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| 5. |
R.R. Negenborn, P.J. van Overloop, T. Keviczky, B. De Schutter.
Distributed model predictive control for irrigation canals.
Submitted to a journal.
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| 4. |
R.R. Negenborn, G. Hug-Glanzmann, B. De Schutter, G. Andersson.
A novel coordination strategy for multi-agent control using
overlapping subnetworks with application to power systems.
Submitted
to a journal.
|
| 3. |
R.R. Negenborn, S. Leirens, B. De Schutter, J. Hellendoorn.
Supervisory nonlinear MPC for emergency voltage control using pattern search.
Submitted
to a journal.
|
| 2. |
Z. Lukszo, M. Weijnen, R.R. Negenborn, B. De Schutter.
Tackling challenges in infrastructure operation and control using multi-level and
multi-agent control. Submitted to a
journal.
| | 1. |
R.R. Negenborn, B. De Schutter, J. Hellendoorn.
Multi-Agent Model Predictive Control For Transportation Networks:
Serial versus Parallel Schemes, Engineering Applications
of Artificial Intelligence, vol. 21, no. 3, pp. 353-366, April 2008.
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| Conference papers |
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| 14. |
R.R. Negenborn, B. De Schutter.
A distributed model predictive control approach for the control of irrigation canals. Accepted for the International
Conference on Infrastructure Systems 2008 (ICIS 2008),
Rotterdam, The Netherlands, November 2008.
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| 13. |
M. Arnold, R.R. Negenborn, G. Andersson, B. De Schutter.
Distributed control applied to combined electricity and natural gas infrastructures. Accepted for the International
Conference on Infrastructure Systems 2008 (ICIS 2008),
Rotterdam, The Netherlands, November 2008.
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| 12. |
R.R. Negenborn, M. Houwing, B. De Schutter, J. Hellendoorn.
Adaptive prediction model accuracy in the control of residential energy
resources. In Proceedings of the 2008 IEEE
Multi-conference on
Systems and
Control (MSC 2008), San Antonio,
Texas,
pp. 311-316, September 2008.
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| 11. |
M. Houwing, R.R. Negenborn, B. De Schutter.
Economic advantages of applying model predictive control
to distributed energy resources: The case of micro-CHP
systems. In Proceedings of the 16th Mediterranean Conference
on Systems and Automation (MED'08), Ajaccio, France, pp. 1550-1555, June 2008.
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| 10. |
G. Glanzmann, R.R. Negenborn, G. Andersson, B. De Schutter,
J. Hellendoorn.
Multi-area control of overlapping areas in power systems for FACTS
control. In Proceedings of Power Tech 2007 (PT
2007), Lausanne, Switzerland, 6pp., July 2007.
Abstract
& PDF.
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| 9. |
M. Houwing, R.R. Negenborn, P. Heijnen, B. De Schutter, J. Hellendoorn.
Least-cost model predictive control of residential energy resources
when applying mCHP. In Proceedings of Power Tech 2007 (PT
2007), Lausanne, Switzerland, 6pp., July 2007.
Abstract
& PDF.
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| 8. |
R.R. Negenborn, B. De Schutter, J. Hellendoorn.
Efficient implementation of serial multi-agent model predictive control by
parallelization. In Proceedings of the
2007 IEEE International Conference on Networking, Sensing, and Control
(ICNSC 2007),
London, UK, pp. 175-180, April 2007.
Abstract
& PDF .
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| 7. |
R.R. Negenborn, A.G. Beccuti, T. Demiray, S. Leirens, G. Damm, B. De
Schutter, M. Morari.
Supervisory hybrid model predictive control
for voltage stability of power networks. In Proceedings of
the American Control Conference 2007
(ACC
2007), New York, New York, pp. 5444-5449, July 2007.
Abstract
& PDF .
|
| 6. |
R.R. Negenborn, B. De Schutter, J. Hellendoorn.
Multi-agent model predictive control for transportation networks with
continuous and discrete elements. In Proceedings of the 11th
IFAC Symposium on Control in Transportation Systems (IFAC-CTS
2006),
Delft, The Netherlands, pp. 609-614, August 2006.
Abstract & PDF.
|
| 5. |
R.R. Negenborn, B. De Schutter, J. Hellendoorn.
Multi-agent model predictive control for transportation networks:
Serial versus parallel schemes. In Proceedings of the
12th IFAC Symposium
on Information Control Problems in Manufacturing (INCOM 2006),
Saint-Etienne,
France, pp. 339-344, May 2006.
Abstract & PDF.
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| 4. |
Z. Verwater-Lukszo, M.P.C. Weijnen, R.R. Negenborn, B. De Schutter, M.
Ilic.
Challenges for process system engineering in infrastructure
operation and control. In 16th European Symposium on Computer
Aided
Process Engineering and 9th International Symposium on Process
Systems Engineering
(ESCAPE-16 +
PSE 2006, Garmisch-Partenkirchen, Germany, July 2006)
(W.
Marquardt and C. Pantelides, eds.), vol. 21 of Computer-Aided
Chemical
Engineering, Amsterdam, The Netherlands: Elsevier, ISBN
978-0-444-52969-5, pp. 95-100, 2006.
Abstract & PDF.
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| 3. |
R.R. Negenborn, B. De Schutter, J. Hellendoorn.
Multi-agent model predictive control of transportation networks. In
Proceedings of
the 2006 IEEE International Conference on Networking, Sensing,
and Control (ICNSC
2006), Ft. Lauderdale, Florida, pp. 296-301, April 2006.
Abstract & PDF.
|
| 2. |
R.R. Negenborn, B. De Schutter, M.A. Wiering, J. Hellendoorn.
Learning-based model predictive control for Markov decision
processes. In Proceedings of the 16th IFAC World
Congress, Paper 2106 / We-M16-TO/2, Prague, Czech Republic, July 2005.
Abstract & PDF.
|
| 1. |
R.R. Negenborn, B. De Schutter, M.A. Wiering, J. Hellendoorn.
Experience-based
model
predictive control using reinforcement learning. In Proceedings
of
the 8th TRAIL Congress 2004
- A World of Transport, Infrastructure and Logistics - CD-ROM.
Rotterdam, The Netherlands,
November 2004. Abstract & PDF.
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| Abstracts |
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| 3. |
R.R. Negenborn, P.J. van Overloop, T. Keviczky, B. De Schutter.
Distributed model predictive control for irrigation
channels. Accepted for the Workshop on Irrigation Channels and Related Problems, Maiori, Italy, October 2008.
|
| 2. |
R.R. Negenborn, B. De Schutter, J. Hellendoorn.
Multi-Agent
Model Predictive Control of Transportation Networks, Book of Abstracts 25th Benelux
Meeting on Systems and Control, Heeze, The Netherlands, March 2006.
Abstract.
|
| 1. |
R.R. Negenborn, B. De Schutter, J. Hellendoorn.
Multi-Agent Control
of Large-Scale Network Systems, Book of Abstracts 24th Benelux
Meeting on Systems and Control, Houffalize, Belgium, March 2005.
Abstract.
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Technical reports |
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Msc Thesis |
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Other publications |
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| 6. |
Rudy Negenborn. Answers to the questions: The results of the PhD Questionnaire.
Het Proefschrift, Journal for PhD candidates at TU Delft,
Autumn 2006 issue (TOC).
Promood, Delft, The Netherlands (Autumn
2006).
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| 5. |
Rudy R. Negenborn. Multi-Agent Control for the Transportation
Networks of the Future: Can you imagine living a whole day
with no electricity at
all?, Maxwell 9(4) (July 2006). |
| 4. |
Tomas van Dijk. Verkeersregelaar, Delta
(February 2006). Interview with Rudy Negenborn. |
| 3. |
Promood.
PhD Questionnaire 2005: The Results. Delft, The
Netherlands (January 2006). Editor Rudy Negenborn.
|
| 2. |
Promood.
Het Proefschrift, Journal for PhD candidates at TU Delft,
Autumn 2005 issue. Delft, The Netherlands (November
2005). Editor Rudy Negenborn.
|
| 1. |
Rudy Negenborn. Multi-agent
control of large-scale hybrid systems. Poster for DCSC
Symposium: Challenges in the 21st Century, Delft Center for Systems and
Control, TU Delft, Delft, The Netherlands (June 7-8, 2004).
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Research projects |
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| Supervision |
| |
| 2008-02/06 |
Monitoring & Control of Household Energy Consumption,
Mohamad
Alamili, Mohammad Hosseini, Tarak Jabri, Bart Kersbergen, Wouter Mense,
Folkert Roscam Abbing.
BSc
project, supervising
in
framework of
High Tech Startups (ET3605).
|
| 2005-02/06 |
Communication and Cooperation in Multi-Agent Systems for Robot
Soccer,
Alex Verbart, Menno
Ronde, Thomas Poiesz, Stefan Taal.
BSc project, supervising in framework of
Bachelor of Science Onderzoek (WBTP303).
|
| 2004-09/2005-06 |
Model Predictive Control for Load Frequency Control in a Restructured
Power Market,
Yik Teh.
MSc thesis project, supervising.
|
| 2005-02/06 |
Control of groups of robots,
Rogier den Breeje and Jos de
Jong.
BSc project, supervising in framework of
Bachelor of Science Onderzoek (WBTP303).
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| 2005-04/06 | Learning control for an inverted pendulum using
reinforcement learning,
Arjan Degenaar and Daan Mastenbroek.
BSc project, supervising in framework of Integraal Project Practicum (ET3603).
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| Teaching |
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Some presentations |
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