Rudy R. Negenborn       Rudy Negenborn
Full Professor, Head of Section
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Publications: All, in pictures, or by area of interest:
   
multi-agent systems, model predictive control, hybrid systems

logistics, intermodal transport, container transport
transport over water, control of ships

transportation networks, inter-terminal transport
water networks, power networks, gas networks

Category: Multi-agent systems
   
109.Z. Du, R.R. Negenborn, V. Reppa. Multi-vessel cooperative speed regulation for ship manipulation in towing scenario. Accepted for the 13th IFAC Conference on Control Applications in Marine Systems, Robotics, and Vehicles (IFAC CAMS'21), Oldenburg, Germany, September 2021.   
108.A. Haseltalab, F. Wani, R.R. Negenborn. Multi-level model predictive control for all-electric ships with hybrid power generation. International Journal of Electrical Power and Energy Systems, vol. 135, no. 107484, February 2022. Open access.   
107.J.M. Maestre, P. Velarde, H. Ishii, R.R. Negenborn. Scenario-based defense mechanism against vulnerabilities in Lagrange-based DMPC. Control Engineering Practice, vol. 114, no. 104879, 2021. Open access.   
106.W. Guo, B. Atasoy, W.W.A. Beelaerts van Blokland, R.R. Negenborn. Global synchromodal transport with dynamic and stochastic shipment matching. Accepted for publication in Transportation Research Part E: Logistics and Transportation Review, 2021.   
105.W. Guo, B. Atasoy, W.W.A. Beelaerts van Blokland, R.R. Negenborn. Anticipatory approach for dynamic and stochastic shipment matching in hinterland synchromodal transportation. Accepted for publication in Flexible Services and Manufacturing Journal, 2021.   
104.Z. Du, V. Reppa, R.R. Negenborn. MPC-based COLREGS compliant collision avoidance for a multi-vessel ship-towing system. Accepted for the 2021 European Control Conference (ECC'21), Rotterdam, The Netherlands, June/July 2021.   
103.Z. Du, R.R. Negenborn, V. Reppa. Cooperative multi-agent control for autonomous ship towing under environmental disturbances. IEEE/CAA Journal of Automatica Sinica, vol. 8, no. 8, pp. 1365-1379, August 2021.   
102.M. van Pampus, A. Haseltalab, V. Garofano, V. Reppa, Y. Deinema, R.R. Negenborn. Distributed leader-follower formation control for autonomous vessels based on model predictive control. Accepted for the 2021 European Control Conference (ECC'21), Rotterdam, The Netherlands, June/July 2021.   
101.R.B. Larsen, R. Baksteen, B. Atasoy, R.R. Negenborn. Secure multi-party co-planning of barge departures. Accepted for the 16th IFAC International Conference on Control in Transportation (IFAC CTS'21), Lille, France, June 2021.   
100.B.A. Beirigo, F. Schulte, R.R. Negenborn. A learning-based optimization approach for autonomous ridesharing platforms with service level contracts and on-demand hiring of idle vehicles. Accepted for publication in Transportation Science, 2021.   
99.Y. Niu, F. Schulte, R.R. Negenborn. Human aspects in collaborative order picking - Letting robotic agents learn about human discomfort. In Proceedings of the International Conference on Industry 4.0 and Smart Manufacturing 2020 (ISM 2020), Linz, Austria, pp. 877-886, November 2020. Best paper award. Published in Procedia Computer Science 180 (2021).   
98.A. Haseltalab, V. Garofano, M. Raheel Afzal, N. Faggioni, S. Li, J. Liu, F. Ma, M. Martelli, Y. Singh, P. Slaets, X. You, R.R. Negenborn. The Collaborative Autonomous Shipping Experiment (CASE): Motivations, theory, infrastructure, and experimental challenges. In Proceedings of the 2020 International Ship Control Systems Symposium (iSCSS 2020), Delft, The Netherlands, October 2020. 16 pp. Open access.   
97.B.A. Beirigo, F. Schulte, R.R. Negenborn. Overcoming mobility poverty with shared autonomous vehicles: A learning-based optimization approach for Rotterdam Zuid. In Proceedings of the 11th International Conference on Computational Logistics (ICCL'20), Enschede, The Netherlands, pp. 492-506, September 2020.   
96.Y. Huang, L. Chen, R.R. Negenborn, P.H.A.J.M. van Gelder. A ship collision avoidance system for human-machine cooperation during collision avoidance. Ocean Engineering, vol. 217, no. 107913, 2020. Open access.   
95.H. Zheng, C. Jin, X. Luo, R.R. Negenborn, Y. Wang. Dynamic rolling horizon scheduling of waterborne AGVs for inter terminal transport. In Proceedings of the 16th IEEE International Conference on Control and Automation (ICCA 2020), Sapporo, Japan, pp. 761-766, 2020.   
94.B. Piaggio, V. Garofano, S. Donnarumma, A. Alessandri, R.R. Negenborn, M. Martelli. Follow-the-Leader control strategy for azimuth propulsion system on surface vessels. In Proceedings of the 2020 International Ship Control Systems Symposium (iSCSS 2020), Delft, The Netherlands, October 2020. 12 pp. Open access.   
93.N. Pourmohammad-Zia, F. Schulte, R.R. Negenborn. Platform-based platooning to connect two autonomous vehicle areas. In Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC 2020), Rhodes, Greece, pp. 654-659, September 2020.   
92.W. Guo, B. Atasoy, W.W.A. Beelaerts van Blokland, R.R. Negenborn. A global intermodal shipment matching problem under travel time uncertainty. In Proceedings of the 11th International Conference on Computational Logistics (ICCL'20), Enschede, The Netherlands, pp. 553-568, September 2020.   
91.J. Los, F. Schulte, M. Gansterer, R.F. Hartl, M.T.J. Spaan, R.R. Negenborn. Decentralized combinatorial auctions for dynamic and large-scale collaborative vehicle routing. In Proceedings of the 11th International Conference on Computational Logistics (ICCL'20), Enschede, The Netherlands, pp. 215-230, September 2020.   
90.Z. Du, V. Reppa, R.R. Negenborn. Cooperative control of autonomous tugs for ship towing in ports. In Proceedings of the 21st IFAC World Congress (IFAC2020), Berlin, Germany, pp. 14671-14676, July 2020.   
89.T. Hipolito, J.L. Nabais, M.A. Botto, R.R. Negenborn. Effective continuous-flow supply chains using centralized model predictive control. In Proceedings of the 21st IFAC World Congress (IFAC2020), Berlin, Germany, pp. 11002-11007, July 2020.   
88.J. Los, F. Schulte, M.T.J. Spaan, R.R. Negenborn. The value of information sharing for platform-based collaborative vehicle routing. Transportation Research Part E: Logistics and Transportation Review, vol. 141, no. 102011, September 2020.   
87.L. Chen, R.R. Negenborn, Y. Huang, J.J Hopman. Survey on cooperative control for waterborne transport. Accepted for publication in IEEE Intelligent Transportation Systems Magazine, 2020.   
86.J. Los, F. Schulte, M.T.J. Spaan, R.R. Negenborn. Collaborative vehicle routing when agents have mixed information sharing attitudes. In Transportation Research Procedia, pp. 94-101, 2020. Vol. 44. Open access.   
85.J. Xin, C. Meng, F. Schulte, J. Peng, Y. Liu, R.R. Negenborn. A time-space network model for collision-free routing of planar motions in a multi-robot station. IEEE Transactions on Industrial Informatics, vol. 16, no. 10, pp. 6413-6422, October 2020.   
84.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. Ocean Engineering, vol. 197, no. 106802, February 2020.   
83.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.   
82.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.   
81.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.   
80.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.   
79.R.B. Larsen, B. Atasoy, R.R. Negenborn. Simultaneous planning of container and vehicle-routes using model predictive control. In Proceedings of the 2019 European Control Conference (ECC'19), Naples, Italy, pp. 2177-2182, June 2019.   
78.S. Li, J. Liu, R.R. Negenborn. Distributed coordination for collision avoidance of multiple ships considering ship maneuverability. Ocean Engineering, vol. 181, pp. 212-226, June 2019.   
77.H. Zheng, J. Wu, W. Wu, R.R. Negenborn. Cooperative distributed predictive control for collision-free vehicle platoons. IET Intelligent Transport Systems, vol. 13, no. 5, pp. 816-824, May 2019.   
76.P. McNamara, R.R. Negenborn, J.C. Canizares, M. Farina, J.M. Maestre, S. Olaru, P. Trodden. Life lessons from and for distributed MPC - Part 1: Dynamics of cooperation. In IFAC PapersOnline 51-30 (IFAC TECIS 2018), Baku, Azerbaijan, pp. 101-106, 2018.   
75.S. Olaru, P. McNamara, J.C. Canizares, M. Farina, J.M. Maestre, P. Trodden, R.R. Negenborn. Life lessons from and for distributed MPC - Part 2: Choice of decision makers. In IFAC PapersOnline 51-30 (IFAC TECIS 2018), Baku, Azerbaijan, pp. 107-111, 2018.   
74.S. Li, R.R. Negenborn, J. Liu. Stimulating inland waterway transport between seaports and the hinterland from a coordination perspective. In Proceedings of the 9th International Conference on Computational Logistics (ICCL 2018), Vietri sul Mare, Italy, pp. 67-85, October 2018.   
73.L. Chen, J.J. Hopman, R.R. Negenborn. Distributed model predictive control for vessel train formations of cooperative multi-vessel systems. Transportation Research Part C: Emerging Technologies, vol. 92, pp. 101-118, July 2018.   
72.X. Lin, R.R. Negenborn, G. Lodewijks. Predictive quality-aware control for scheduling of potato starch production. Computers and Electronics in Agriculture, vol. 150, pp. 266-278, July 2018.   
71.B.A. Beirigo, F. Schulte, R.R. Negenborn. Dual-mode vehicle routing in mixed autonomous and non-autonomous zone networks. In Proceedings of the 21st IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2018), Maui, Hawaii, November 2018.   
70.W. Guo, W.W.A. Beelarts van Blokland, R.R. Negenborn. A many-to-one algorithm to solve a many-to-many matching problem for routing. In Proceedings of the 9th International Conference on Computational Logistics (ICCL 2018), Vietri sul Mare, Italy, pp. 279-294, October 2018.   
69.L. Ferranti, R.R. Negenborn, T. Keviczky, J. Alonso-Mora. Coordination of multiple vessels via distributed nonlinear model predictive control. In Proceedings of the 17th European Control Conference (ECC 2018), Limassol, Cyprus, pp. 2523-2528, June 2018.   
68.  
67.L. Chen, R.R. Negenborn, J.J. Hopman. Intersection crossing of cooperative multi-vessel systems. In Proceedings of the 15th IFAC Symposium on Control in Transportation Systems (IFAC CTS 2018), Savona, Italy, pp. 379-385, June 2018. Open Access.   
66.J. Los, M.T.J. Spaan, R.R. Negenborn. Fleet management for pickup and delivery problems with multiple locations and preferences. In Proceedings of the 6th International Conference on Dynamics in Logistics (LDIC 2018), Bremen, Germany, pp. 86-94, February 2018.   
65.P. Velarde, J.M. Maestre, H. Ishii, R.R. Negenborn. Scenario based defense mechanism for distributed model predictive control. In Proceedings of the 56th IEEE Conference on Decision and Control (CDC2017), Melbourne, Australia, pp. 6171-6176, December 2017.   
64.H. Zheng, R.R. Negenborn, G. Lodewijks. Robust distributed predictive control of waterborne AGVs - a cooperative and cost-effective approach. IEEE Transactions on Cybernetics, vol. 48, no. 8, pp. 2449-2461, August 2018.   
63.P. Velarde, J.M. Maestre, H. Ishii, R.R. Negenborn. Vulnerabilities in Lagrange-based distributed model predictive control. Optimal Control Applications and Methods, vol. 39, no. 2, pp. 602-621, March/April 2018. Available online: September 2017.   
62.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.   
61.M. Schiaretti, L. Chen, R.R. Negenborn. Survey on autonomous surface vessels: Part I - A new detailed definition of autonomy levels. In Proceedings of the 8th International Conference on Computational Logistics (ICCL 2017), Southampton, UK, pp. 219-233, October 2017.   
60.M. Schiaretti, L. Chen, R.R. Negenborn. Survey on autonomous surface vessels: Part II - Categorization of 60 prototypes and future applications. In Proceedings of the 8th International Conference on Computational Logistics (ICCL 2017), Southampton, UK, pp. 234-252, October 2017.   
59.P. Velarde, J.M. Maestre, H. Ishii, R.R. Negenborn. Vulnerabilities in Lagrange-based DMPC in the context of cyber-security. In Proceedings of the 14th IEEE International Conference on Autonomic Computing (ICAC 2017), Columbus, Ohio, pp. 215-220, July 2017.   
58.H. Zheng, R.R. Negenborn, G. Lodewijks. Fast ADMM for distributed model predictive control of cooperative Waterborne AGVs. IEEE Transactions on Control Systems Technology, vol. 25, no. 4, pp. 1406-1413, July 2017.   
57.H. Zheng, R.R. Negenborn, G. Lodewijks. Predictive path following with arrival time awareness for waterborne AGVs. Transportation Research Part C, vol. 70, pp. 214-237, September 2016.   
56.S. Zheng, R.R. Negenborn, X. Zhu. Cost allocation in a container shipping alliance considering economies of scale: A CKYH Alliance case study. International Journal of Shipping and Transport Logistics, vol. 9, no. 4, pp. 449-474, 2017.   
55.S. Zheng, R.R. Negenborn. Design of port regulation mechanisms for multilayer governance: A Shanghai case study. Maritime Economics & Logistics, vol. 20, no. 1, pp. 89-111, March 2018.   
54.S. Li, R.R. Negenborn, G. Lodewijks. Approach integrating mixed-integer programming and constraint programming for planning rotations of inland vessels in a large seaport. Transportation Research Record, vol. 2549, pp. 1-8, 2016.   
53.J.L. Nabais, R.R. Negenborn, R. Carmona-Benitez, M.A. Botto. Achieving transport modal split targets at intermodal freight hubs using a model predictive approach. Transportation Research Part C, vol. 60, pp. 278-297, 2015.   
52.P. Mc Namara, R.R. Negenborn, B. De Schutter, G. Lightbody, S. McLoone. Distributed MPC for frequency regulation in multi-terminal HVDC grids. Control Engineering Practice, vol. 46, pp. 176-187, January 2016.   
51.B. van Riessen, R.R. Negenborn, R. Dekker. Synchromodal container transportation: an overview of current topics and research opportunities. In Proceedings of the 6th International Conference on Computational Logistics (ICCL'15), Delft, The Netherlands, pp. 386-397, September 2015.   
50.J. Xin, R.R. Negenborn, F. Corman, G. Lodewijks. Control of interacting machines in automated container terminals using a sequential planning approach for collision avoidance. Transportation Research Part C, vol. 60, pp. 377-396, 2015.   
49.L. Li, X. Lin, R.R. Negenborn, B. De Schutter. Pricing intermodal freight transport services: A cost-plus-pricing strategy. In Proceedings of the 6th International Conference on Computational Logistics (ICCL'15), Delft, The Netherlands, pp. 541-556, September 2015.   
48.J.L. Nabais, R.R. Negenborn, R. Carmona-Benitez, M.A. Botto. Cooperative relations among intermodal hubs and transport providers at freight networks using an MPC approach. In Proceedings of the 6th International Conference on Computational Logistics (ICCL'15), Delft, The Netherlands, pp. 478-494, September 2015.   
47.L. Heilig, R.R. Negenborn, S. Voss. Cloud-based intelligent transportation system using Model Predictive Control. In Proceedings of the 6th International Conference on Computational Logistics (ICCL'15), Delft, The Netherlands, pp. 464-477, September 2015.   
46.S. Li, R.R Negenborn, G. Lodewijks. A two phase approach for inter-terminal transport of inland vessels using preference-based coordination rules. In Proceedings of the 6th International Conference on Computational Logistics (ICCL'15), Delft, The Netherlands, pp. 281-297, September 2015.   
45.X. Lin, R.R. Negenborn G. Lodewijks. Survey on operational perishables quality control and logistics. In Proceedings of the 6th International Conference on Computational Logistics (ICCL'15), Delft, The Netherlands, pp. 398-421, September 2015.   
44.F. Corman, F. Viti, R.R. Negenborn. Equilibrium models in multimodal container transport systems. Flexible Services and Manufacturing, pp. 1-29, September 2015. Open access.   
43.L. Li, R.R. Negenborn, B. De Schutter. Intermodal freight transport planning - A receding horizon control approach. Transportation Research Part C, vol. 60, pp. 77-95, 2015.   
42.S. Li, R.R. Negenborn, G. Lodewijks. Distributed constraint optimization methods for addressing vessel rotation planning problems. Engineering Applications of Artificial Intelligence, vol. 48, pp. 159-172, February 2016.   
41.J. Xin, R.R. Negenborn, G. Lodewijks. Energy-efficient container handling using hybrid model predictive control. International Journal of Control, vol. 88, no. 11, pp. 2327-2346, June 2015.   
40.S. Zheng, R.R. Negenborn. Price negotiation between supplier and buyer under uncertainty with fixed demand and elastic demand. International Journal of Production Economics, vol. 167, pp. 35-44, 2015.   
39.J. Xin, R.R. Negenborn, G. Lodewijks. Event-driven receding horizon control for energy-efficient container handling. Control Engineering Practice, vol. 39, pp. 45-55, June 2015.   
38.S. Li, H. Zheng, R.R. Negenborn, G. Lodewijks. Coordination for efficient transport over water. In Proceedings of the 19th IEEE International Conference on Computer Supported Cooperative Work in Design (IEEE CSCWD'15), Calabria, Italy, pp. 389-394, May 2015.   
37.R.R. Negenborn, J.M. Maestre. Distributed model predictive control -- An overview and roadmap of future research opportunities. IEEE Control Systems Magazine, vol. 34, no. 4, pp. 87-97, August 2014.   
36.  
35.J. Xin, R.R. Negenborn, G. Lodewijks. Hierarchical control of equipment in automated container terminals. In Proceedings of the 4th International Conference on Computational Logistics (ICCL 2013), Copenhagen, Denmark, pp. 1-17, September 2013.   
34.J.L. Nabais, R.R. Negenborn, R. Carmona Benitez, M. Ayala Botto. A multi-agent MPC scheme for vertically integrated manufacturing supply chains. In Proceedings of the IFAC 6th International Conference on Management and Control of Production and Logistics (IFAC MCPL 2013), Fortaleza, Brazil, September 2013.   
33.R.R. Negenborn, J.M. Maestre. On 35 Approaches for Distributed MPC Made Easy. In Distributed Model Predictive Control Made Easy (J.M. Maestre, R.R. Negenborn, eds.), Springer, Dordrecht, The Netherlands, pp. 1-37, 2014.   
32.J.L. Nabais, R.R. Negenborn, R.B. Carmona-Benitez, L.F. Mendonca, M.A. Botto. Hierarchical MPC for multiple commodity transportation networks. In Distributed Model Predictive Control Made Easy (J.M. Maestre, R.R. Negenborn, eds.), Springer, Dordrecht, The Netherlands, pp. 535-552, 2014.   
31.R.R. Negenborn. Decompositions of augmented Lagrange formulations for serial and parallel distributed MPC. In Distributed Model Predictive Control Made Easy (J.M. Maestre, R.R. Negenborn, eds.), Springer, Dordrecht, The Netherlands, pp. 437-450, 2014.   
30.S. Roshany-Yamchi, R.R. Negenborn, A.A. Cornelio. Nash-based distributed MPC for multi-rate systems. In Distributed Model Predictive Control Made Easy (J.M. Maestre, R.R. Negenborn, eds.), Springer, Dordrecht, The Netherlands, pp. 341-353, 2014.   
29.J. Lemos Nabais, R.R. Negenborn, R.B. Carmona Benitez, L.F. Mendonca, J. Lourenco, M. Ayala Botto. A multi-agent control architecture for supply chains using a predictive pull-flow perspective. In Proceedings of the 11th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS'13), Salamanca, Spain, pp. 94-105, May 2013.   
28.S. Roshany-Yamchi, M. Cychowski, R.R. Negenborn, B. De Schutter, K. Delaney, J. Connell. Kalman filter-based distributed predictive control of large-scale multi-rate systems: Application to power networks. IEEE Transactions on Control Systems Technology, vol. 21, no. 1, pp. 27-39, January 2013.   
27.X. Tian, P.J. van Overloop, R.R. Negenborn, J.M. Maestre. Incorporating transport over water in the multi-objective water management of the Lake IJssel area in the Netherlands. In Proceedings of the 2013 IEEE International Conference on Networking, Sensing and Control (ICNSC'13), Paris, France, April 2013. Paper 167.   
26.X. Tian, J.M. Maestre, P.J. van Overloop, R.R. Negenborn. Distributed model predictive control for multi-objective water system management. In Proceedings of the 10th International Conference on Hydroinformatics (HIC 2012), Hamburg, Germany, July 2012. Paper 175.   
25.P. Mc Namara, R.R. Negenborn, B. De Schutter, G. Lightbody. Weight optimisation for iterative distributed model predictive control applied to power networks. Engineering Applications of Artificial Intelligence, vol. 26, no. 1, pp. 532-543, January 2013.   
24.S. Roshany-Yamchi, R.R. Negenborn, M. Cychowski, B. De Schutter, J. Connell, K. Delaney. Distributed model predictive control and estimation of large-scale multi-rate systems. In Proceedings of the 18th IFAC World Congress (IFAC WC'11), Milano, Italy, pp. 416-422, August-September 2011.   
23.P. Mc Namara, R.R. Negenborn, B. De Schutter, G. Lightbody. Coordination of a multiple link HVDC system using local communications based distributed model predictive control. In Proceedings of the 18th IFAC World Congress (IFAC WC'11), Milano, Italy, pp. 1558-1563, August-September 2011.   
22.S. Roshany-Yamchi, R.R. Negenborn, M. Cychowski, K. Delaney, J. Connell. A game theory approach to distributed multi-rate model predictive control. In Proceedings of the 22nd IET Irish Signals and Systems Conference (ISSC 2011), Dublin, Ireland, pp. 225-230, June 2011.   
21.I. Alvarado, D. Limon, D. Munoz de la Pena, J.M. Maestre, M.A. Ridao, H. Scheu, W. Marquardt, R.R. Negenborn, B. De Schutter, F. Valencia, J. Espinosa. A comparative analysis of distributed MPC techniques applied to the HD-MPC four-tank benchmark. Journal of Process Control, vol. 21, no. 5, pp. 800-815, June 2011.   
20.R.R. Negenborn, P.J. van Overloop, B. De Schutter. Coordination of local controllers in large-scale water systems. In Proceedings of the 9th International Conference on Hydroinformatics 2010 (HIC2010), Tianjin, China, pp. 2178-2185, September 2010.   
19.S. Leirens, C. Zamora, R.R. Negenborn, B. De Schutter. Coordination in urban water supply networks using distributed model predictive control. In Proceedings of the 2010 American Control Conference (ACC'10), Baltimore, Maryland, pp. 3957-3962, June 2010.   
18.R.R. Negenborn, P.J. van Overloop, T. Keviczky, B. De Schutter. Distributed model predictive control for irrigation canals. Networks and Heterogeneous Media, vol. 4, no. 2, pp. 359-380, June 2009.   
17.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. In Efficient Modeling and Control of Large-Scale Systems (J. Mohammadpour, K.M. Grigoriadis, eds.), Springer, Norwell, Massachusetts, pp. 251-278, 2010.   
16.R.R. Negenborn, A. Sahin, Z. Lukszo, B. De Schutter, M. Morari. A non-iterative cascaded predictive control approach for control of irrigation canals. In Proceedings of the 2009 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2009), San Antonio, Texas, pp. 3652-3657, October 2009.   
15.Z. Lukszo, M. Weijnen, R.R. Negenborn, B. De Schutter. Tackling challenges in infrastructure operation and control -- cross-sectoral learning for process and infrastructure engineers. International Journal of Critical Infrastructures, vol. 5, no. 4, pp. 308-322, 2009.   
14.M. Arnold, R.R. Negenborn, G. Andersson, B. De Schutter. Multi-area predictive control for combined electricity and natural gas systems. In Proceedings of the European Control Conference 2009 (ECC'09), Budapest, Hungary, pp. 1408-1413, August 2009.   
13.R.R. Negenborn, P.J. van Overloop, B. De Schutter. Coordinated distributed model predictive reach control of irrigation canals. In Proceedings of the European Control Conference 2009 (ECC'09), Budapest, Hungary, pp. 1420-1425, August 2009.   
12.M. Arnold, R.R. Negenborn, G. Andersson, B. De Schutter. Distributed Predictive Control for Energy Hub Coordination in Coupled Electricity and Gas Networks. In Intelligent Infrastructures (R.R. Negenborn, Z. Lukszo, H. Hellendoorn, eds.), Springer, Dordrecht, The Netherlands, pp. 235-273, 2010.   
11.M. Arnold, R.R. Negenborn, G. Andersson, B. De Schutter. Model-based predictive control applied to multi-carrier systems. In Proceedings of the 2009 IEEE PES General Meeting (2009 IEEE PES GM '09), Calgary, Canada, June 2009. Paper 09GM1452.   
10.M. Arnold, R.R. Negenborn, G. Andersson, B. De Schutter. Distributed control applied to combined electricity and natural gas infrastructures. In Proceedings of the International Conference on Infrastructure Systems 2008 (INFRA 2008), Rotterdam, The Netherlands, November 2008.   
9.R.R. Negenborn, B. De Schutter. A distributed model predictive control approach for the control of irrigation canals. In Proceedings of the International Conference on Infrastructure Systems 2008 (INFRA 2008), Rotterdam, The Netherlands, November 2008.   
8.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.   
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.   
6.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, July 2007.   
5.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.   
4.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.   
3.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'06), Amsterdam, The Netherlands, pp. 95-100, 2006.   
2.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.   
1.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.