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| Publications:
All, in pictures, or by area of
interest: |
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multi-agent
systems, model
predictive
control, hybrid
systems
multi-vessel systems,
sustainability,
synchromodality
logistics,
intermodal transport,
container transport
transport over water,
control of ships
transportation networks, inter-terminal transport
water
networks,
power networks,
gas
networks |
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Category: Multi-agent systems |
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| 132. | Safety and efficiency of Human - MASS interactions: towards an integrated framework. R. Song, E. Papadimitriou, R.R. Negenborn, P.H.A.J.M. van Gelder. Accepted for publication in Journal of Marine Engineering & Technology, 2024. Open access.   | | 131. | Parallel distributed collision avoidance with intention consensus based on ADMM. H. Anh Tran, T.A. Johansen, R.R. Negenborn. Accepted for the 17th IFAC Symposium on Control in Transportation Systems (IFAC CTS 2024), Agia Napa, Cyprus, July 2024.  | | 130. | A multiple sensor fault diagnosis scheme for autonomous surface vessels. A. Dhyani, R.R. Negenborn, V. Reppa. In IFAC PapersOnLine 58(4) (IFAC SAFEPROCESS 2024), Ferrara, Italy, pp. 31-36, June 2024. | | 129. | Integrating situation-aware knowledge maps and dynamic window approach for safe path planning by maritime autonomous surface ships. R. Song, E. Papadimitriou, R.R. Negenborn, P.H.A.J.M. van Gelder. Ocean Engineering, vol. 311, no. 118882, 2024. Open access. | | 128. | Augmented Lagrangian relaxation-based coordinated approach for global synchromodal transport planning with multiple operators. W. Guo, Y. Zhang, W. Li, R.R. Negenborn, B. Atasoy. Transportation Research Part E: Logistics and Transportation Review, vol. 185, no. 103535, May 2024. Open access. | | 127. | Obstacle avoidance and trajectory optimization for an autonomous vessel utilizing MILP path planning, computer vision based perception and feedback control. V. Garofano, M. Hepworth, R. Shahin, Y. Pang, R.R. Negenborn. Journal of Marine Engineering & Technology, pp. 1-15, 2024. Open access. | | 126. | Model predictive trajectory optimization and control for autonomous surface vessels considering traffic rules. A. Tsolakis, R.R. Negenborn, V. Reppa, L. Ferranti. IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 8, pp. 9895-9908, 2024. | | 125. | Optimal chartering decisions for vessel fleet to support offshore wind farm maintenance operations. M. Li, B. Bijvoet, K. Wu, X. Jiang, R.R. Negenborn. Ocean Engineering, vol. 298, no. 117202, 2024. | | 124. | Follow-the-leader guidance, navigation and control of surface vessels: Design and experiments. B. Piaggio, V. Garofano, S. Donnarumma, A. Alessandri, R.R. Negenborn, M. Martelli. IEEE Journal of Oceanic Engineering, vol. 48, no. 4, pp. 997-1008, October 2023. | | 123. | Model predictive path planning of AGVs: Mixed logical dynamical formulation and distributed coordination. J. Xin, X. Wu, A. D'Ariano, R.R. Negenborn, F. Zhang. Accepted for publication in Transactions on Intelligent Transportation Systems, 2023. | | 122. | Autonomous ships are on the horizon: here's what we need to know. R.R. Negenborn, F. Goerlandt, T.A. Johansen, P. Slaets, O.A. Valdez Banda, T. Vanelslander, N.P. Ventikos. Nature, vol. 615, no. 7950, pp. 30-33, March 2023. Open access. | | 121. | Flexible time-space network formulation and hybrid metaheuristic for conflict-free and energy-efficient path planning of automated guided vehicles. J. Xin, L. Wei, A. D'Ariano, F. Zhang, R.R. Negenborn. Journal of Cleaner Production, vol. 398, no. 136472, 2023. | | 120. | Distributed dynamic coordination control for offshore platform transportation under ocean environmental disturbances. Z. Du, R.R. Negenborn, V. Reppa. IEEE Transactions on Control Systems Technology, vol. 31, no. 5, pp. 2093-2106, September 2023. | | 119. | A robust optimization approach for platooning of automated ground vehicles
in port hinterland corridors. N. Pourmohammad-Zia, F. Schulte, R.G. Gonzalez-Ramirez, S. Voß, R.R. Negenborn. Computers & Industrial Engineering, vol. 177, no. 109046, March 2023. | | 118. | Review of floating object manipulation by autonomous multi-vessel systems. Z. Du, R.R. Negenborn, V. Reppa. Accepted for publication in Annual Reviews in Control, 2022. Open access. | | 117. | Coordination and optimization control framework for vessels platooning in inland waterborne transportation system. W. Tao, M. Zhu, S. Chen, X. Cheng, Y. Wen, W. Zhang, R.R. Negenborn, Y. Pang. IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 12, pp. 15667-15686, December 2023. | | 116. | Collaborative planning for intermodal transport with eco-label preferences. Y. Zhang, A. Heinold, F. Meisel, R.R. Negenborn, B. Atasoy. Transportation Research Part D: Transport and Environment, vol. 112, no. 103470, 2022. | | 115. | A Logit mixture model estimating the heterogeneous mode choice preferences of shippers based on aggregate data. A. Nicolet, R.R. Negenborn, B. Atasoy. IEEE Open Journal of Intelligent Transportation Systems, vol. 3, pp. 650-661, 2022. Open access. | | 114. | Multi-objective cooperative control for a ship-towing system in congested water traffic environments. Z. Du, R.R. Negenborn, V. Reppa. IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 12, pp. 24318-24329, December 2022. | | 113. | Distributed nonlinear trajectory optimization for multi-robot motion planning. L. Ferranti, L. Lyons, R.R. Negenborn, T. Keviczky, J. Alonso-Mora. IEEE Transactions on Control Systems Technology, vol. 31, no. 2, pp. 809-824, 2023. | | 112. | Energy-efficient routing of a multi-robot station: A flexible time-space network approach. J. Xin, C. Meng, A. D’Ariano, F. Schulte, J. Peng, R.R. Negenborn. IEEE Transactions on Automation Science and Engineering, vol. 20, no. 3, pp. 2022-2036, July 2023. | | 111. | COLREGS-Compliant collision avoidance for physically coupled multi-vessel systems with distributed MPC. Z. Du, R.R. Negenborn, V. Reppa. Ocean Engineering, vol. 260, no. 111917, 2022. Open access. | | 110. | Constructing knowledge maps for situation awareness of maritime autonomous surface ships. R. Song, E. Papadimitriou, R.R. Negenborn, P.H.A.J.M. van Gelder. Accepted for the International Ship Control Systems Symposium 2022 (ISCSS 2022), Delft, The Netherlands, November 2022. | | 109. | COLREGs-aware trajectory optimization
for autonomous surface vessels. A. Tsolakis, D. Benders, O. de Groot, R.R. Negenborn, V. Reppa, L. Ferranti. In IFAC PapersOnline 55(31) (IEEE CAMS'22), Kongens Lyngby, Denmark, pp. 269-274, September 2022. | | 108. | Dynamic coordination of multiple vessels for offshore platform transportation. Z. Du, R.R. Negenborn, V. Reppa. Accepted for the 2022 IEEE Conference on Control Technology and Applications (IEEE CCTA'22), Trieste, Italy, August 2022. | | 107. | A Lagrangian relaxation heuristic approach for coordinated global intermodal transportation. W. Guo, R.R. Negenborn, B. Atasoy. Accepted for the 2022 IEEE International Conference on Automation Science and Engineering (IEEE CASE'22), Mexico City, Mexico, August 2022. | | 106. | A collaborative berth planning model for disruption recovery. X. Lyu, R.R. Negenborn, X. Shi, F. Schulte. IEEE Open Journal of Intelligent Transportation Systems, vol. 3, pp. 153-164, 2022. Open access. | | 105. | A business class for autonomous mobility-on-demand: Modeling service quality contracts in dynamic ridesharing systems. B.A. Beirigo, R.R. Negenborn, J. Alonso-Mora, F. Schulte. Transportation Research Part C: Emerging Technologies, vol. 136, no. 103520, 2022. Open access. | | 104. | Large-scale collaborative vehicle routing. J. Los, F. Schulte, M. Gansterer, R.F. Hartl, M.T.J. Spaan, R.R. Negenborn. Annals of Operations Research, 2022. Open access. | | 103. | Multi-vessel cooperative speed regulation for ship manipulation in towing scenario. Z. Du, R.R. Negenborn, V. Reppa. In IFAC PapersOnLine 15(16) (IFAC CAMS'21), Oldenburg, Germany, pp. 384-389, September 2021. | | 102. | Multi-level model predictive control for all-electric ships with hybrid power generation. A. Haseltalab, F. Wani, R.R. Negenborn. International Journal of Electrical Power and Energy Systems, vol. 135, no. 107484, February 2022. Open access. | | 101. | Scenario-based defense mechanism against
vulnerabilities in Lagrange-based DMPC. J.M. Maestre, P. Velarde, H. Ishii, R.R. Negenborn. Control Engineering Practice, vol. 114, no. 104879, 2021. Open access. | | 100. | An auction-based multi-agent system for the pickup and delivery problem with autonomous vehicles and alternative locations. J. Los, F. Schulte, M.T.J. Spaan, R.R. Negenborn. In Proceedings of the 8th International Conference on Dynamics in Logistics (LDIC 2022), Bremen, Germany, pp. 244-260, February 2022. Best paper award. | | 99. | Strategic bidding in decentralized collaborative vehicle routing. J. Los, F. Schulte, M.T.J. Spaan, R.R. Negenborn. In Proceedings of the 8th International Conference on Dynamics in Logistics (LDIC 2022), Bremen, Germany, pp. 261-274, February 2022. | | 98. | Global synchromodal transport with dynamic and stochastic shipment matching. W. Guo, B. Atasoy, W.W.A. Beelaerts van Blokland, R.R. Negenborn. Transportation Research Part E: Logistics and Transportation Review, vol. 152, no. 102404, August 2021. Open access. | | 97. | Anticipatory approach for dynamic and stochastic shipment matching in hinterland synchromodal transportation. W. Guo, B. Atasoy, W.W.A. Beelaerts van Blokland, R.R. Negenborn. Flexible Services and Manufacturing Journal, 2021. Open access. | | 96. | MPC-based COLREGS compliant collision avoidance for a multi-vessel ship-towing system. Z. Du, V. Reppa, R.R. Negenborn. Accepted for the 2021 European Control Conference (ECC'21), Rotterdam, The Netherlands, June/July 2021. | | 95. | Cooperative multi-agent control for autonomous ship towing under environmental disturbances. Z. Du, R.R. Negenborn, V. Reppa. IEEE/CAA Journal of Automatica Sinica, vol. 8, no. 8, pp. 1365-1379, August 2021. | | 94. | Distributed leader-follower formation control for autonomous vessels
based on model predictive control. M. van Pampus, A. Haseltalab, V. Garofano, V. Reppa, Y. Deinema, R.R. Negenborn. Accepted for the 2021 European Control Conference (ECC'21), Rotterdam, The Netherlands, June/July 2021. | | 93. | Secure multi-party co-planning of barge
departures. R.B. Larsen, R. Baksteen, B. Atasoy, R.R. Negenborn. In IFAC PapersOnline 54(2) (IFAC CTS'21), Lille, France, pp. 335-341, June 2021. | | 92. | A learning-based optimization approach for autonomous ridesharing platforms with service level contracts and on-demand hiring of idle vehicles. B.A. Beirigo, F. Schulte, R.R. Negenborn. Transportation Science, 2021. | | 91. | Human aspects in collaborative order picking - Letting robotic agents learn about human discomfort. Y. Niu, F. Schulte, R.R. Negenborn. 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). | | 90. | The Collaborative Autonomous Shipping Experiment (CASE): Motivations, theory,
infrastructure, and experimental challenges. 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. In Proceedings of the 2020 International Ship Control Systems Symposium (iSCSS 2020), Delft, The Netherlands, October 2020. 16 pp. Open access. | | 89. | Overcoming mobility poverty with shared autonomous vehicles: A learning-based optimization approach for Rotterdam Zuid. B.A. Beirigo, F. Schulte, R.R. Negenborn. In Proceedings of the 11th International Conference on Computational Logistics (ICCL'20), Enschede, The Netherlands, pp. 492-506, September 2020. | | 88. | A ship collision avoidance system for human-machine cooperation during collision avoidance. Y. Huang, L. Chen, R.R. Negenborn, P.H.A.J.M. van Gelder. Ocean Engineering, vol. 217, no. 107913, 2020. Open access. | | 87. | Dynamic rolling horizon scheduling of waterborne AGVs for inter terminal transport. H. Zheng, C. Jin, X. Luo, R.R. Negenborn, Y. Wang. In Proceedings of the 16th IEEE International Conference on Control and Automation (ICCA 2020), Sapporo, Japan, pp. 761-766, 2020. | | 86. | Follow-the-Leader control strategy for azimuth propulsion system on surface vessels. B. Piaggio, V. Garofano, S. Donnarumma, A. Alessandri, R.R. Negenborn, M. Martelli. In Proceedings of the 2020 International Ship Control Systems Symposium (iSCSS 2020), Delft, The Netherlands, October 2020. 12 pp. Open access. | | 85. | Platform-based platooning to connect two autonomous vehicle areas. N. Pourmohammad-Zia, F. Schulte, R.R. Negenborn. In Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems (ITSC 2020), Rhodes, Greece, pp. 654-659, September 2020. | | 84. | A global intermodal shipment matching problem under travel time uncertainty. W. Guo, B. Atasoy, W.W.A. Beelaerts van Blokland, R.R. Negenborn. In Proceedings of the 11th International Conference on Computational Logistics (ICCL'20), Enschede, The Netherlands, pp. 553-568, September 2020. | | 83. | Decentralized combinatorial auctions for dynamic and large-scale collaborative vehicle
routing. J. Los, F. Schulte, M. Gansterer, R.F. Hartl, M.T.J. Spaan, R.R. Negenborn. In Proceedings of the 11th International Conference on Computational Logistics (ICCL'20), Enschede, The Netherlands, pp. 215-230, September 2020. | | 82. | Cooperative control of autonomous tugs
for ship towing in ports. Z. Du, V. Reppa, R.R. Negenborn. In Proceedings of the 21st IFAC World Congress (IFAC2020), Berlin, Germany, pp. 14671-14676, July 2020. | | 81. | Effective continuous-flow supply chains using centralized model predictive control. T. Hipolito, J.L. Nabais, M.A. Botto, R.R. Negenborn. In Proceedings of the 21st IFAC World Congress (IFAC2020), Berlin, Germany, pp. 11002-11007, July 2020. | | 80. | The value of information sharing for platform-based collaborative vehicle routing. J. Los, F. Schulte, M.T.J. Spaan, R.R. Negenborn. Transportation Research Part E: Logistics and Transportation Review, vol. 141, no. 102011, September 2020. | | 79. | Survey on cooperative control for waterborne transport. L. Chen, R.R. Negenborn, Y. Huang, J.J Hopman. IEEE Intelligent Transportation Systems Magazine, vol. 13, no. 2, pp. 71-90, 2020. | | 78. | Collaborative vehicle routing when agents have mixed information sharing attitudes. J. Los, F. Schulte, M.T.J. Spaan, R.R. Negenborn. In Transportation Research Procedia, pp. 94-101, 2020. Vol. 44. Open access. | | 77. | A time-space network model for collision-free routing of planar motions in a multi-robot station. J. Xin, C. Meng, F. Schulte, J. Peng, Y. Liu, R.R. Negenborn. IEEE Transactions on Industrial Informatics, vol. 16, no. 10, pp. 6413-6422, October 2020. | | 76. | A novel bi-level distributed dynamic optimization method of ship fleets energy consumption. K. Wang, J. Li, X. Yan, L. Huang, X. Jiang, Y. Yuan, R. Ma, R.R. Negenborn. Ocean Engineering, vol. 197, no. 106802, February 2020. | | 75. | Distributed model predictive control for cooperative floating object transport
with multi-vessel systems. L. Chen, J.J. Hopman, R.R. Negenborn. Ocean Engineering, vol. 191 (2019), no. 106515, 2019. | | 74. | State-of-the-art research on motion control of maritime autonomous surface ships. L. Wang, Q. Wu, J. Liu, S. Li, R.R. Negenborn. Journal of Marine Science and Engineering, vol. 7, no. 12, December 2019. Open access. | | 73. | Optimizing the joint collision avoidance operations of multiple ships from an overall perspective. S. Li, J. Liu, R.R. Negenborn, F. Ma. Ocean Engineering, vol. 191 (2019), no. 106511, 2019. | | 72. | Model predictive ship collision avoidance based on Q-learning beetle swarm antenna search and neural networks. S. Xie, V. Garofano, X. Chu, R.R. Negenborn. Ocean Engineering, vol. 193, no. 106609, December 2019. | | 71. | Simultaneous planning of container and vehicle-routes using model predictive control. R.B. Larsen, B. Atasoy, R.R. Negenborn. In Proceedings of the 2019 European Control Conference (ECC'19), Naples, Italy, pp. 2177-2182, June 2019. | | 70. | Distributed coordination for collision avoidance of multiple ships considering ship maneuverability. S. Li, J. Liu, R.R. Negenborn. Ocean Engineering, vol. 181, pp. 212-226, June 2019. | | 69. | Cooperative distributed predictive control for collision-free vehicle platoons. H. Zheng, J. Wu, W. Wu, R.R. Negenborn. IET Intelligent Transport Systems, vol. 13, no. 5, pp. 816-824, May 2019. | | 68. | Life lessons from and for distributed MPC - Part 1: Dynamics of cooperation. P. McNamara, R.R. Negenborn, J.C. Canizares, M. Farina, J.M. Maestre, S. Olaru, P. Trodden. In IFAC PapersOnline 51-30 (IFAC TECIS 2018), Baku, Azerbaijan, pp. 101-106, 2018. | | 67. | Life lessons from and for distributed MPC - Part 2: Choice of decision makers. S. Olaru, P. McNamara, J.C. Canizares, M. Farina, J.M. Maestre, P. Trodden, R.R. Negenborn. In IFAC PapersOnline 51-30 (IFAC TECIS 2018), Baku, Azerbaijan, pp. 107-111, 2018. | | 66. | Stimulating inland waterway transport between seaports and the hinterland from a coordination perspective. S. Li, R.R. Negenborn, J. Liu. In Proceedings of the 9th International Conference on Computational Logistics (ICCL 2018), Vietri sul Mare, Italy, pp. 67-85, October 2018. | | 65. | Distributed model predictive control for vessel train formations of cooperative multi-vessel systems. L. Chen, J.J. Hopman, R.R. Negenborn. Transportation Research Part C: Emerging Technologies, vol. 92, pp. 101-118, July 2018. | | 64. | Predictive quality-aware control for scheduling of potato starch production. X. Lin, R.R. Negenborn, G. Lodewijks. Computers and Electronics in Agriculture, vol. 150, pp. 266-278, July 2018. | | 63. | Dual-mode vehicle routing in mixed autonomous and non-autonomous zone networks. B.A. Beirigo, F. Schulte, R.R. Negenborn. In Proceedings of the 21st IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2018), Maui, Hawaii, November 2018. | | 62. | A many-to-one algorithm to solve a many-to-many matching problem for routing. W. Guo, W.W.A. Beelarts van Blokland, R.R. Negenborn. In Proceedings of the 9th International Conference on Computational Logistics (ICCL 2018), Vietri sul Mare, Italy, pp. 279-294, October 2018. | | 61. | Coordination of multiple vessels via distributed nonlinear model predictive control. L. Ferranti, R.R. Negenborn, T. Keviczky, J. Alonso-Mora. In Proceedings of the 17th European Control Conference (ECC 2018), Limassol, Cyprus, pp. 2523-2528, June 2018. | | 60. | Intersection crossing of cooperative multi-vessel systems. L. Chen, R.R. Negenborn, J.J. Hopman. In Proceedings of the 15th IFAC Symposium on Control in Transportation Systems (IFAC CTS 2018), Savona, Italy, pp. 379-385, June 2018. Open Access. | | 59. | Fleet management for pickup and delivery
problems with multiple locations and
preferences. J. Los, M.T.J. Spaan, R.R. Negenborn. In Proceedings of the 6th International Conference on Dynamics in Logistics (LDIC 2018), Bremen, Germany, pp. 86-94, February 2018. | | 58. | Scenario based defense mechanism for distributed model predictive control. P. Velarde, J.M. Maestre, H. Ishii, R.R. Negenborn. In Proceedings of the 56th IEEE Conference on Decision and Control (CDC2017), Melbourne, Australia, pp. 6171-6176, December 2017. | | 57. | Robust distributed predictive control of waterborne AGVs - a cooperative and cost-effective approach. H. Zheng, R.R. Negenborn, G. Lodewijks. IEEE Transactions on Cybernetics, vol. 48, no. 8, pp. 2449-2461, August 2018. | | 56. | Vulnerabilities in Lagrange-based distributed model predictive control. P. Velarde, J.M. Maestre, H. Ishii, R.R. Negenborn. Optimal Control Applications and Methods, vol. 39, no. 2, pp. 602-621, March/April 2018. Available online: September 2017. | | 55. | Efficient multi-scenario model predictive control for water resources management with ensemble streamflow forecasts. X. Tian, R.R. Negenborn, P.J. van Overloop, J.M. Maestre, A. Sadowska, N. van de Giesen. Advances in Water Resources, vol. 109, pp. 58-68, 2017. | | 54. | Survey on autonomous surface vessels: Part I - A new detailed definition of autonomy levels. M. Schiaretti, L. Chen, R.R. Negenborn. In Proceedings of the 8th International Conference on Computational Logistics (ICCL 2017), Southampton, UK, pp. 219-233, October 2017. | | 53. | Survey on autonomous surface vessels: Part II - Categorization of 60 prototypes and
future applications. M. Schiaretti, L. Chen, R.R. Negenborn. In Proceedings of the 8th International Conference on Computational Logistics (ICCL 2017), Southampton, UK, pp. 234-252, October 2017. | | 52. | Vulnerabilities in Lagrange-based DMPC in the context of cyber-security. P. Velarde, J.M. Maestre, H. Ishii, R.R. Negenborn. In Proceedings of the 14th IEEE International Conference on Autonomic Computing (ICAC 2017), Columbus, Ohio, pp. 215-220, July 2017. | | 51. | Fast ADMM for distributed model predictive
control of cooperative Waterborne AGVs. H. Zheng, R.R. Negenborn, G. Lodewijks. IEEE Transactions on Control Systems Technology, vol. 25, no. 4, pp. 1406-1413, July 2017. | | 50. | Predictive path following with arrival time awareness for waterborne AGVs. H. Zheng, R.R. Negenborn, G. Lodewijks. Transportation Research Part C, vol. 70, pp. 214-237, September 2016. | | 49. | Cost allocation in a container shipping alliance considering economies of scale: A CKYH Alliance case study. S. Zheng, R.R. Negenborn, X. Zhu. International Journal of Shipping and Transport Logistics, vol. 9, no. 4, pp. 449-474, 2017. | | 48. | Design of port regulation mechanisms for multilayer governance: A Shanghai case study. S. Zheng, R.R. Negenborn. Maritime Economics & Logistics, vol. 20, no. 1, pp. 89-111, March 2018. | | 47. | Approach integrating mixed-integer programming and constraint programming for planning rotations of inland vessels in a large seaport. S. Li, R.R. Negenborn, G. Lodewijks. Transportation Research Record, vol. 2549, pp. 1-8, 2016. | | 46. | Achieving transport modal split targets at intermodal freight hubs using a model predictive approach. J.L. Nabais, R.R. Negenborn, R. Carmona-Benitez, M.A. Botto. Transportation Research Part C, vol. 60, pp. 278-297, 2015. | | 45. | Distributed MPC for frequency regulation in multi-terminal HVDC grids. P. Mc Namara, R.R. Negenborn, B. De Schutter, G. Lightbody, S. McLoone. Control Engineering Practice, vol. 46, pp. 176-187, January 2016. | | 44. | Synchromodal container transportation: an overview of current topics and research opportunities. B. van Riessen, R.R. Negenborn, R. Dekker. In Proceedings of the 6th International Conference on Computational Logistics (ICCL'15), Delft, The Netherlands, pp. 386-397, September 2015. | | 43. | Control of interacting machines in automated container terminals using a
sequential planning approach for collision avoidance. J. Xin, R.R. Negenborn, F. Corman, G. Lodewijks. Transportation Research Part C, vol. 60, pp. 377-396, 2015. | | 42. | Pricing intermodal freight transport services: A cost-plus-pricing strategy. L. Li, X. Lin, R.R. Negenborn, B. De Schutter. In Proceedings of the 6th International Conference on Computational Logistics (ICCL'15), Delft, The Netherlands, pp. 541-556, September 2015. | | 41. | Cooperative relations among intermodal hubs and transport providers at freight networks using an MPC approach. J.L. Nabais, R.R. Negenborn, R. Carmona-Benitez, M.A. Botto. In Proceedings of the 6th International Conference on Computational Logistics (ICCL'15), Delft, The Netherlands, pp. 478-494, September 2015. | | 40. | Cloud-based intelligent transportation system using Model Predictive Control. L. Heilig, R.R. Negenborn, S. Voss. In Proceedings of the 6th International Conference on Computational Logistics (ICCL'15), Delft, The Netherlands, pp. 464-477, September 2015. | | 39. | A two phase approach for inter-terminal
transport of inland vessels using
preference-based coordination rules. S. Li, R.R Negenborn, G. Lodewijks. In Proceedings of the 6th International Conference on Computational Logistics (ICCL'15), Delft, The Netherlands, pp. 281-297, September 2015. | | 38. | Survey on operational perishables quality control and logistics. X. Lin, R.R. Negenborn G. Lodewijks. In Proceedings of the 6th International Conference on Computational Logistics (ICCL'15), Delft, The Netherlands, pp. 398-421, September 2015. | | 37. | Equilibrium models in multimodal container transport systems. F. Corman, F. Viti, R.R. Negenborn. Flexible Services and Manufacturing, pp. 1-29, September 2015. Open access. | | 36. | Intermodal freight transport planning - A receding horizon control approach. L. Li, R.R. Negenborn, B. De Schutter. Transportation Research Part C, vol. 60, pp. 77-95, 2015. | | 35. | Distributed constraint optimization methods for addressing vessel rotation planning problems. S. Li, R.R. Negenborn, G. Lodewijks. Engineering Applications of Artificial Intelligence, vol. 48, pp. 159-172, February 2016. | | 34. | Energy-efficient container handling using hybrid model predictive control. J. Xin, R.R. Negenborn, G. Lodewijks. International Journal of Control, vol. 88, no. 11, pp. 2327-2346, June 2015. | | 33. | Price negotiation between supplier and buyer under uncertainty with fixed demand and elastic demand. S. Zheng, R.R. Negenborn. International Journal of Production Economics, vol. 167, pp. 35-44, 2015. | | 32. | Event-driven receding horizon control for energy-efficient container handling. J. Xin, R.R. Negenborn, G. Lodewijks. Control Engineering Practice, vol. 39, pp. 45-55, June 2015. | | 31. | Coordination for efficient transport over water. S. Li, H. Zheng, R.R. Negenborn, G. Lodewijks. 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. | | 30. | Distributed model predictive control --
An overview and roadmap of future research opportunities. R.R. Negenborn, J.M. Maestre. IEEE Control Systems Magazine, vol. 34, no. 4, pp. 87-97, August 2014. | | 29. | Hierarchical control of equipment in automated container terminals. J. Xin, R.R. Negenborn, G. Lodewijks. In Proceedings of the 4th International Conference on Computational Logistics (ICCL 2013), Copenhagen, Denmark, pp. 1-17, September 2013. | | 28. | A multi-agent MPC scheme for vertically integrated manufacturing supply chains. J.L. Nabais, R.R. Negenborn, R. Carmona Benitez, M. Ayala Botto. In Proceedings of the IFAC 6th International Conference on Management and Control of Production and Logistics (IFAC MCPL 2013), Fortaleza, Brazil, September 2013. | | 27. | A multi-agent control architecture for supply chains using a predictive pull-flow perspective. J. Lemos Nabais, R.R. Negenborn, R.B. Carmona Benitez, L.F. Mendonca,
J. Lourenco, M. Ayala Botto. 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. | | 26. | Kalman filter-based distributed predictive control of large-scale multi-rate systems: Application to power networks. S. Roshany-Yamchi, M. Cychowski, R.R. Negenborn, B. De Schutter, K. Delaney, J. Connell. IEEE Transactions on Control Systems Technology, vol. 21, no. 1, pp. 27-39, January 2013. | | 25. | Incorporating transport over water in the multi-objective water management of the Lake IJssel area in the Netherlands. X. Tian, P.J. van Overloop, R.R. Negenborn, J.M. Maestre. In Proceedings of the 2013 IEEE International Conference on Networking, Sensing and Control (ICNSC'13), Paris, France, April 2013. Paper 167. | | 24. | Distributed model predictive control for multi-objective water system management. X. Tian, J.M. Maestre, P.J. van Overloop, R.R. Negenborn. In Proceedings of the 10th International Conference on Hydroinformatics (HIC 2012), Hamburg, Germany, July 2012. Paper 175. | | 23. | Weight optimisation for iterative distributed model predictive control applied to power networks. P. Mc Namara, R.R. Negenborn, B. De Schutter, G. Lightbody. Engineering Applications of Artificial Intelligence, vol. 26, no. 1, pp. 532-543, January 2013. | | 22. | Distributed model predictive control and estimation of large-scale multi-rate systems. S. Roshany-Yamchi, R.R. Negenborn, M. Cychowski, B. De Schutter, J. Connell, K. Delaney. In Proceedings of the 18th IFAC World Congress (IFAC WC'11), Milano, Italy, pp. 416-422, August-September 2011. | | 21. | Coordination of a multiple link HVDC system using local communications based distributed model predictive control. P. Mc Namara, R.R. Negenborn, B. De Schutter, G. Lightbody. In Proceedings of the 18th IFAC World Congress (IFAC WC'11), Milano, Italy, pp. 1558-1563, August-September 2011. | | 20. | A game theory approach to distributed multi-rate model predictive control. S. Roshany-Yamchi, R.R. Negenborn, M. Cychowski, K. Delaney, J. Connell. In Proceedings of the 22nd IET Irish Signals and Systems Conference (ISSC 2011), Dublin, Ireland, pp. 225-230, June 2011. | | 19. | A comparative analysis of distributed MPC techniques applied to the HD-MPC four-tank benchmark. 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. Journal of Process Control, vol. 21, no. 5, pp. 800-815, June 2011. | | 18. | Coordination of local controllers in large-scale water systems. R.R. Negenborn, P.J. van Overloop, B. De Schutter. In Proceedings of the 9th International Conference on Hydroinformatics 2010 (HIC2010), Tianjin, China, pp. 2178-2185, September 2010. | | 17. | Coordination in urban water supply networks using distributed model predictive control. S. Leirens, C. Zamora, R.R. Negenborn, B. De Schutter. In Proceedings of the 2010 American Control Conference (ACC'10), Baltimore, Maryland, pp. 3957-3962, June 2010. | | 16. | Distributed model predictive control for irrigation canals. R.R. Negenborn, P.J. van Overloop, T. Keviczky, B. De Schutter. Networks and Heterogeneous Media, vol. 4, no. 2, pp. 359-380, June 2009. | | 15. | A non-iterative cascaded predictive control approach for control of irrigation canals. R.R. Negenborn, A. Sahin, Z. Lukszo, B. De Schutter, M. Morari. In Proceedings of the 2009 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2009), San Antonio, Texas, pp. 3652-3657, October 2009. | | 14. | Tackling challenges in infrastructure operation and control -- cross-sectoral learning for process and infrastructure engineers. Z. Lukszo, M. Weijnen, R.R. Negenborn, B. De Schutter. International Journal of Critical Infrastructures, vol. 5, no. 4, pp. 308-322, 2009. | | 13. | Multi-area predictive control for combined electricity and natural gas systems. M. Arnold, R.R. Negenborn, G. Andersson, B. De Schutter. In Proceedings of the European Control Conference 2009 (ECC'09), Budapest, Hungary, pp. 1408-1413, August 2009. | | 12. | Coordinated distributed model predictive reach control of irrigation canals. R.R. Negenborn, P.J. van Overloop, B. De Schutter. In Proceedings of the European Control Conference 2009 (ECC'09), Budapest, Hungary, pp. 1420-1425, August 2009. | | 11. | Model-based predictive control applied to multi-carrier systems. M. Arnold, R.R. Negenborn, G. Andersson, B. De Schutter. In Proceedings of the 2009 IEEE PES General Meeting (2009 IEEE PES GM '09), Calgary, Canada, June 2009. Paper 09GM1452. | | 10. | Distributed control applied to combined electricity and natural gas infrastructures. M. Arnold, R.R. Negenborn, G. Andersson, B. De Schutter. In Proceedings of the International Conference on Infrastructure Systems 2008 (INFRA 2008), Rotterdam, The Netherlands, November 2008. | | 9. | A distributed model predictive control approach for the control of irrigation canals. R.R. Negenborn, B. De Schutter. In Proceedings of the International Conference on Infrastructure Systems 2008 (INFRA 2008), Rotterdam, The Netherlands, November 2008. | | 8. | Multi-Agent Model Predictive Control For Transportation Networks: Serial versus Parallel Schemes. R.R. Negenborn, B. De Schutter, J. Hellendoorn. Engineering Applications of Artificial Intelligence, vol. 21, no. 3, pp. 353-366, April 2008. | | 7. | Supervisory hybrid model predictive control for voltage stability of power networks. R.R. Negenborn, A.G. Beccuti, T. Demiray, S. Leirens, G. Damm, B. De Schutter, M. Morari. In Proceedings of the American Control Conference 2007 (ACC 2007), New York, New York, pp. 5444-5449, July 2007. | | 6. | Multi-area control of overlapping areas in power systems for FACTS control. G. Glanzmann, R.R. Negenborn, G. Andersson, B. De Schutter, J. Hellendoorn. In Proceedings of Power Tech 2007 (PT 2007), Lausanne, Switzerland, July 2007. | | 5. | Efficient implementation of serial multi-agent model predictive control by parallelization. R.R. Negenborn, B. De Schutter, J. Hellendoorn. In Proceedings of the 2007 IEEE International Conference on Networking, Sensing, and Control (ICNSC 2007), London, UK, pp. 175-180, April 2007. | | 4. | Multi-agent model predictive control for transportation networks with continuous and discrete elements. R.R. Negenborn, B. De Schutter, J. Hellendoorn. In Proceedings of the 11th IFAC Symposium on Control in Transportation Systems (IFAC-CTS 2006), Delft, The Netherlands, pp. 609-614, August 2006. | | 3. | Challenges for process system engineering in infrastructure operation and control. Z. Verwater-Lukszo, M.P.C. Weijnen, R.R. Negenborn, B. De Schutter, M. Ilic. 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. | Multi-agent model predictive control for transportation networks: Serial versus parallel schemes. R.R. Negenborn, B. De Schutter, J. Hellendoorn. In Proceedings of the 12th IFAC Symposium on Information Control Problems in Manufacturing (INCOM 2006), Saint-Etienne, France, pp. 339-344, May 2006. | | 1. | Multi-agent model predictive control of transportation networks. R.R. Negenborn, B. De Schutter, J. Hellendoorn. In Proceedings of the 2006 IEEE International Conference on Networking, Sensing, and Control (ICNSC 2006), Ft. Lauderdale, Florida, pp. 296-301, April 2006. |
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