|
| Publications:
All, in pictures, or by area of
interest: |
| |
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 |
 |
|
|
|
Category: Model predictive control |
| |
| 165. | Energy-efficient speed planning considering delay and dynamic waterway conditions for inland vessels. S. Slager, Y. Pang, R.R. Negenborn. Accepted for the International Ship Control Systems Symposium 2024 (ISCSS 2024), Liverpool, United Kingdom, November 2024.   | | 164. | Influence of ship-to-ship interaction on formation control of
multi-vessel systems. X. Xiong, R.R. Negenborn, Y. Pang. Accepted for the 21st International Conference on Informatics in Control, Automation and Robotics (ICINO 2024), Porto, Portugal, November 2024. | | 163. | 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.  | | 162. | 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. | | 161. | 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. | | 160. | A closed-loop maintenance strategy for offshore wind farms: Incorporating dynamic wind farm states and uncertainty-awareness in decision-making. M. Li, X. Jiang, J. Carroll, R.R. Negenborn. Renewable and Sustainable Energy Reviews, vol. 184, no. 113535, 2023. | | 159. | A collision avoidance algorithm with intention prediction for inland waterways ships. H. Ahn Tran, T.A. Johansen, R.R. Negenborn. Accepted for the 22nd IFAC World Congress (IFAC WC'23), Yokohama, Japan, July 2023. | | 158. | 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. | | 157. | 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. | | 156. | 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. | | 155. | 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. | | 154. | 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. | | 153. | 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. | | 152. | 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. | | 151. | 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. | | 150. | Distributed model predictive contouring control for real-time multi-robot motion planning . J. Xin, Y. Qu, F. Zhang, R.R. Negenborn. Complex System Modeling and Simulation, vol. 2, no. 4, pp. 273-287, December 2022. Open access. | | 149. | A reduced-order model of a solid oxide fuel cell stack for model predictive control. L. van Biert, P. Segovia Castillo, A. Haseltalab, R.R. Negenborn. Accepted for the International Ship Control Systems Symposium 2022 (ISCSS 2022), Delft, The Netherlands, November 2022. | | 148. | A multi-sensory switching-stable architecture for distributed fault tolerant propulsion control of marine vessels. N. Kougiatsos, R.R. Negenborn, V. Reppa. Accepted for the International Ship Control Systems Symposium 2022 (ISCSS 2022), Delft, The Netherlands, November 2022. | | 147. | 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. | | 146. | 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. | | 145. | Vessel passage scheduling through cascaded bridges using mixed-integer programming. P. Segovia, R.R. Negenborn, V. Reppa. Accepted for the 18th IFAC Workshop on Control Applications of Optimization (IFAC CAO'22), Gif-sur-Yvette, France, July 2022. | | 144. | Perishable supply chain model for sustainable and customer-oriented logistics management using model predictive control. T. Hipolito, D. Gomes, J. Lemos Nabais, M. Ayala Botto, R.R. Negenborn. In Proceedings of the 5th LAETA Young Researchers Meeting (LAETA 2022), Lisbon, Portugal, May 2022. | | 143. | 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. | | 142. | 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. | | 141. | 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. | | 140. | Mixed-integer nonlinear programming for energy-efficient container handling: formulation and customized genetic algorithm. J. Xin, C. Meng, A. D'Ariano, D. Wang, R.R. Negenborn. Transactions on Intelligent Transportation Systems, 2021. Early access online. | | 139. | Component sizing and energy management for
SOFC-based ship power systems. A. Haseltalab, L. van Biert, H.D. Shapra, B.T.W. Mestemaker, R.R. Negenborn. Energy Conversion and Management, vol. 245, no. 114625, October 2021. Open access. | | 138. | 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. | | 137. | 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. | | 136. | 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. | | 135. | 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. | | 134. | Computational reduction of optimal hybrid vehicle energy management. C. Armenta, S. Delprat, R.R. Negenborn, A. Haseltalab, J. Lauber, M. Dambrine. In Proceedings of the 2021 American Control Conference (ACC'21), New Orleans, Louisiana, pp. 1444-1449, May 2021. Published in IEEE Control Systems Letters. | | 133. | 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. | | 132. | 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. | | 131. | 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. | | 130. | Collision avoidance systems for maritime autonomous surface ships considering uncertainty in ship dynamics. Y. Huang, L. Chen, R.R. Negenborn, P.H.A.J.M. van Gelder. In Proceedings of the 21st IFAC World Congress (IFAC2020), Berlin, Germany, pp. 14815-14820, July 2020. | | 129. | Model predictive trajectory tracking control and thrust allocation for autonomous vessels. A. Haseltalab, V. Garofano, M. van Pampus, R.R. Negenborn. In Proceedings of the 21st IFAC World Congress (IFAC2020), Berlin, Germany, pp. 14733-14739, July 2020. | | 128. | Backstepping control of heavy lift
operations with crane vessels. J. Ye, V. Reppa, R.R. Negenborn. In Proceedings of the 21st IFAC World Congress (IFAC2020), Berlin, Germany, pp. 14905-14910, July 2020. | | 127. | Model predictive control with memory-based discrete search for switched linear systems. R.B. Larsen, B. Atasoy, R.R. Negenborn. In Proceedings of the 21st IFAC World Congress (IFAC2020), Berlin, Germany, pp. 6851-6856, July 2020. | | 126. | Model predictive control for simultaneous planning of container and vehicle routes. R.B. Larsen, B. Atasoy, R.R. Negenborn. European Journal of Control, vol. 57, pp. 273-282, January 2021. | | 125. | 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. | | 124. | A centralized model predictive control framework for logistics management of coordinated supply chains of perishable goods. T. Hippolito, J. Lemos Nabais, R. Carmona-Benitez, M. Ayala Botto, R.R. Negenborn. International Journal of Systems Science: Operations & Logistics, vol. 9, no. 1, pp. 1-21, 2022. Published online: July 2020. | | 123. | Automatic docking for underactuated ships based on multi-objective nonlinear model predictive control. S. Li, J. Liu, R.R. Negenborn, Q. Wu. IEEE Access, vol. 8, no. 1, pp. 70044-70057, December 2020. | | 122. | A dynamic shipment matching problem in hinterland synchromodal transportation. W. Guo, B. Atasoy, W.W.A. Beelaerts van Blokland, R.R. Negenborn. Decision Support Systems, vol. 134, no. 113289, July 2020. | | 121. | A dynamic and stochastic shipment matching problem in multimodal transportation. W. Guo, B. Atasoy, W.W.A. Beelaerts van Blokland, R.R. Negenborn. Transportation Research Record, pp. 1-12, 2020. | | 120. | Stochastic floating quay crane scheduling on offshore platforms: a simheuristic approach. D. Souravlias, M. B. Duinkerken, S. Morshuis, D.L. Schott, R.R. Negenborn. In Proceedings of the 2019 International Conference on Harbor, Maritime and Multimodal Logistic Modelling and Simulation (HMS'19), Lisbon, Portugal, pp. 62-71, September 2019. | | 119. | Cooperative multi-vessel systems
in urban waterway networks. L. Chen, Y. Huang, H. Zheng, J.J. Hopman, R.R. Negenborn. IEEE Transactions on Intelligent Transportation Systems, vol. 21, no. 8, pp. 3294-3307, 2019. | | 118. | Model predictive DC voltage control for all-electric ships. A. Haseltalab, M. Ayala Botto, R.R. Negenborn. Control Engineering Practice, vol. 90, pp. 133-147, September 2019. | | 117. | Eco-VTF: Fuel-efficient vessel train formations for all-electric autonomous ships. L. Chen, A. Haseltalab, V. Garofano, R.R. Negenborn. In Proceedings of the 2019 European Control Conference (ECC'19), Naples, Italy, pp. 2543-2550, June 2019. | | 116. | 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. | | 115. | Quality-aware control for optimizing meat supply chains. J.P. Sprong, J.M. Maestre, X. Lin, R.R. Negenborn. In Proceedings of the 2019 European Control Conference (ECC'19), Naples, Italy, pp. 3867-3872, June 2019. | | 114. | Multi-scenario model predictive control based on genetic algorithms for level regulation of open water systems under ensemble forecasts. X. Tian, Y. Guo, R.R. Negenborn, L. Wei, N.M. Lin, J.M. Maestre. Water Resources Management, vol. 33, no. 9, pp. 3025-3040, July 2019. | | 113. | Model predictive maneuvering control and energy management for all-electric autonomous ships. A. Haseltalab, R.R. Negenborn. Applied Energy, vol. 251, no. 113308, pp. 1-27, October 2019. | | 112. | Adaptive pitch control for ships with diesel mechanical and hybrid propulsion. R.D. Geertsma, K. Visser, R.R. Negenborn. Applied Energy, vol. 228, pp. 2490-2509, 2018. Open Access. | | 111. | 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. | | 110. | 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. | | 109. | 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. | | 108. | 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. | | 107. | Ship energy management for hybrid propulsion and power supply with shore charging. M. Kalikatzarakis, R.D. Geertsma, E.J. Boonen, K. Visser, R.R. Negenborn. Control Engineering Practice, vol. 76, pp. 133-154, July 2018. | | 106. | 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. | | 105. | 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. | | 104. | A hybrid dynamical approach for allocating materials in a dry bulk terminal. J. Xin, R.R. Negenborn, T. van Vianen. IEEE Transactions on Automation Science and Engineering, vol. 15, no. 3, pp. 1326-1336, July 2018. | | 103. | Piecewise affine approximations for quality modeling and control of perishable foods. J. Xin, R.R. Negenborn, X. Lin. Journal of Optimal Control Applications and Methods, vol. 39, no. 2, pp. 860-872, March/April 2018. | | 102. | Pitch control for ships with diesel mechanical and hybrid propulsion: Modelling, validation and performance quantification. R.D. Geertsma, R.R. Negenborn, K. Visser, J.J. Hopman. Applied Energy, vol. 206, pp. 1609-1631, 2017. | | 101. | 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. | | 100. | 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. | | 99. | 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. | | 98. | 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. | | 97. | MPC approach for synchronized supply chains of perishable goods. T. Hipolito, J.L. Nabais, R. Carmona-Benitez, M. Ayala Botto, R.R. Negenborn. In Proceedings of the 7th International Conference on Industrial Engineering and Systems Management (IESM 2017), Saarbrucken, Germany, pp. 574-579, October 2017. | | 96. | 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. | | 95. | Adaptive control for a class of partially
unknown non-Affine systems: Applied to
autonomous waterborne vehicles. A. Haseltalab, R.R. Negenborn, G. Lodewijks. In Proceedings of the 20th IFAC World Congress (IFAC 2017 WC), Toulouse, France, pp. 4336-4341, July 2017. | | 94. | Parallel control for hybrid propulsion of
multifunction ships. R.D. Geertsma, R.R. Negenborn, K. Visser, J.J. Hopman. In Proceedings of the 20th IFAC World Congress (IFAC 2017 WC), Toulouse, France, pp. 2332-2339, July 2017. | | 93. | Predictive on-board power management for
all-electric ships with DC distribution architecture. A. Haseltalab, R.R. Negenborn. In Proceedings of Oceans'17 MTS/IEEE (OCEANS'17), Aberdeen, Scotland, June 2017. 8pp. | | 92. | Design and control of hybrid power and propulsion systems for smart ships:
A review of developments. R.D. Geertsma, R.R. Negenborn, K. Visser, J.J. Hopman. Applied Energy, vol. 194, pp. 30-54, 2017. Open Access. | | 91. | Towards quality-aware control of perishable goods in synchromodal transport networks. X. Lin, R.R. Negenborn, G. Lodewijks. In Proceedings of the 5th IFAC Conference on Sensing, Control and Automation for Agriculture (IFAC AgriControl 2016), Seattle, Washington, pp. 132-137, August 2016. | | 90. | 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. | | 89. | Model predictive control for water level control in the case of spills. X. Tian, B.E. Aydin, R.R. Negenborn, N. van de Giesen, J.M. Maestre. Journal of Irrigation and Drainage Engineering, vol. 143, no. 3, 2017. | | 88. | Explicit use of probabilistic distributions in robust predictive control of waterborne AGVs - a cost-effective approach. H. Zheng, R.R. Negenborn, G. Lodewijks. In Proceedings of the 15th European Control Conference (ECC16), Aalborg, Denmark, pp. 1278-1283, June/July 2016. | | 87. | 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. | | 86. | Multi-level predictive control for energy
management of hybrid ships in the
presence of uncertainty and environmental
disturbances. A. Haseltalab, R.R. Negenborn, G. Lodewijks. In Proceedings of the 14th IFAC Symposium on Control in Transportation Systems (IFAC CTS 2016), Istanbul, Turkey, pp. 90-95, May 2016. | | 85. | Quality-aware predictive scheduling of raw perishable material transports. X. Lin, R.R. Negenborn, G. Lodewijks. In Proceedings of the 5th International Conference on Dynamics in Logistics (LDIC 2016), Bremen, Germany, pp. 61-70, February 2016. Winner "Best paper" award. | | 84. | 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. | | 83. | 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. | | 82. | 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. | | 81. | 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. | | 80. | Cooperative distributed collision avoidance based on ADMM for waterborne AGVs. H. Zheng, R.R. Negenborn, G. Lodewijks. In Proceedings of the 6th International Conference on Computational Logistics (ICCL'15), Delft, The Netherlands, pp. 181-194, September 2015. | | 79. | 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. | | 78. | Improvement of navigation conditions using Model Predictive Control - The Cuinchy-Fontinettes case study. K. Horvath, E. Duviella, L. Rajaoarisoa, R.R. Negenborn, K. Chuquet. In Proceedings of the 6th International Conference on Computational Logistics (ICCL'15), Delft, The Netherlands, pp. 222-237, September 2015. | | 77. | 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. | | 76. | Trajectory tracking control for underactuated surface vessels based on nonlinear Model Predictive Control. C. Liu, H. Zheng, R.R. Negenborn, X. Chu, L. Wang. In Proceedings of the 6th International Conference on Computational Logistics (ICCL'15), Delft, The Netherlands, pp. 160-180, September 2015. | | 75. | 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. | | 74. | 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. | | 73. | 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. | | 72. | 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. | | 71. | 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. | | 70. | 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. | | 69. | 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. | | 68. | Optimizing hybrid operations at large-scale automated container terminals. F. Corman, J. Xin, A. Toli, R.R. Negenborn, A. D'Ariano, M. Sama, G. Lodewijks. In Proceedings of the 2015 Models and Technologies for Intelligent Transportation Systems
(MT-ITS), Budapest, Hungary, pp. 8, June 2015. | | 67. | Operational flood control of a low-lying delta system using large time step Model Predictive Control. X. Tian, P.J. van Overloop, R.R. Negenborn, N. van de Giesen. Advances in Water Resources, vol. 75, pp. 1-13, January 2015. | | 66. | Model predictive control of a waterborne AGV at the operational level. H. Zheng, R.R. Negenborn, G. Lodewijks. In Proceedings of the International Maritime and Port Technology and Development Conference (MTEC 2014), Trondheim, Norway, pp. 99-108, October 2014. | | 65. | Trajectory planning for AGVs in automated container terminals using avoidance constraints. J. Xin, R.R. Negenborn, G. Lodewijks. In Proceedings of the 19th IFAC World Congress (IFAC WC'14), Cape Town, South Africa, pp. 9828-9833, August 2014. | | 64. | Rescheduling of interacting machines in automated container terminals. J. Xin, R.R. Negenborn, G. Lodewijks. In Proceedings of the 19th IFAC World Congress (IFAC WC'14), Cape Town, South Africa, pp. 1698-1704, August 2014. | | 63. | Model predictive scheduling for container terminals. F.B. van Boetzelaer, T.J.J. van den Boom, R.R. Negenborn. In Proceedings of the 19th IFAC World Congress (IFAC WC'14), Cape Town, South Africa, pp. 5091-5096, August 2014. | | 62. | Trajectory tracking of autonomous vessels
using model predictive control. H. Zheng, R.R. Negenborn, G. Lodewijks. In Proceedings of the 19th IFAC World Congress (IFAC WC'14), Cape Town, South Africa, pp. 8812-8818, August 2014. | | 61. | Model predictive control for water management using adaptive prediction accuracy. X. Tian, R.R. Negenborn, P.J. van Overloop, E. Mostert. In Proceedings of the 11th International Conference on Hydroinformatics (HIC 2014), New York, USA, August 2014. Paper 1183. | | 60. | 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. | | 59. | Energy-aware control for automated container terminals using integrated flow shop scheduling and optimal control. J. Xin, R.R. Negenborn, G. Lodewijks. Transportation Research Part C, vol. 44, pp. 214-230, July 2014. | | 58. | A receding horizon approach for container flow assignment in intermodal freight transport. L. Li, R.R. Negenborn, B. De Schutter. Transportation Research Record, vol. 2410, pp. 132-140, 2014. | | 57. | A receding horizon approach for container flow assignment in intermodal freight transport. L. Li, R.R. Negenborn, B. De Schutter. In Proceedings of the Transportation Research Board 93th Annual Meeting (TRB'14), Washington, D.C., January 2014. 14 pages. Paper 14-0088. | | 56. | Hierarchical model predictive control for optimizing intermodal container terminal operations. J.L. Nabais, R.R. Negenborn, M.A. Botto. In Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems (IEEE ITSC 2013), The Hague, The Netherlands, pp. 708-713, October 2013. | | 55. | Setting cooperative relations among terminals at seaports using a multi-agent system. J.L. Nabais, R.R. Negenborn, R.B. Carmona Benitez, M.A. Botto. In Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems (IEEE ITSC 2013), The Hague, The Netherlands, pp. 1731-1736, October 2013. | | 54. | Survey of approaches for improving the intelligence of marine surface vehicles. H. Zheng, R.R. Negenborn, G. Lodewijks. In Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems (IEEE ITSC 2013), The Hague, The Netherlands, pp. 1217-1223, October 2013. | | 53. | A constrained MPC heuristic to achieve a desired transport modal split at intermodal hubs. J.L. Nabais, R.R. Negenborn, R.B. Carmona Benitez, M.A. Botto. In Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems (IEEE ITSC 2013), The Hague, The Netherlands, pp. 714-719, October 2013. | | 52. | Survey on planning problems in inland waterway transport: Current status and future perspectives. S. Li, R.R. Negenborn, G. Lodewijks. In Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems (IEEE ITSC 2013), The Hague, The Netherlands, pp. 1231-1237, October 2013. | | 51. | A sequential linear programming approach for flow assignment in intermodal freight transport. L. Li, R.R. Negenborn, B. De Schutter. In Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems (IEEE ITSC 2013), The Hague, The Netherlands, pp. 1224-1230, October 2013. | | 50. | Hybrid MPC for balancing throughput and energy consumption in an
automated container terminal. J. Xin, R.R. Negenborn, G. Lodewijks. In Proceedings of the 16th International IEEE Conference on Intelligent Transportation Systems (IEEE ITSC 2013), The Hague, The Netherlands, pp. 1238-1244, October 2013. | | 49. | 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. | | 48. | Model predictive control for intelligent vehicle lane change. H. Zheng, Z. Huang, C. Wu, R.R. Negenborn. In Proceedings of the 2nd International Conference on Transportation Information and Safety (ICTIS 2013), Wuhan, China, pp. 265-276, June-July 2013. | | 47. | 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. | | 46. | A general framework for modeling intermodal transport networks. L. Li, R.R. Negenborn, B. De Schutter. In Proceedings of the 2013 IEEE International Conference on Networking, Sensing and Control (ICNSC'13), Paris, France, April 2013. Paper 144. | | 45. | Hybrid model predictive control for equipment in an automated container terminal. J. Xin, R.R. Negenborn, G. Lodewijks. In Proceedings of the 2013 IEEE International Conference on Networking, Sensing and Control (ICNSC'13), Paris, France, April 2013. Paper 194. | | 44. | Model Predictive Control for a Sustainable Transport Modal Split at Intermodal Container Hubs. J.L. Nabais, R.R. Negenborn, M.A. Botto. In Proceedings of the 2013 IEEE International Conference on Networking, Sensing and Control (ICNSC'13), Paris, France, April 2013. Paper 146. | | 43. | 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. | | 42. | 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. | | 41. | Time-instant optimization for hybrid model predictive control of the Rhine-Meuse Delta. H. van Ekeren, R.R. Negenborn, P.J. van Overloop, B. De Schutter. Journal of Hydroinformatics, vol. 15, no. 2, pp. 271-292, 2013. | | 40. | De Saint-Venant equations-based model assessment in model predictive control of open channel flow. M. Xu, R.R. Negenborn, P.J. van Overloop, N.C. van de Giesen. Advances in Water Resources, vol. 49, no. 2012, pp. 37-45, 2012. | | 39. | Optimal control for coordination of equipment in automated container terminals. J. Xin, R.R. Negenborn, G. Lodewijks. In Proceedings of the TRAIL-Beta Congress 2012 --- Mobility & Logistics - Science meets Practice (TRAIL-Beta Congress), Rotterdam, The Netherlands, October 2012. | | 38. | Modeling Intermodal Transport Networks -- A general framework. L. Li, R.R. Negenborn, B. De Schutter. In Proceedings of the TRAIL-Beta Congress 2012 --- Mobility & Logistics - Science meets Practice (TRAIL-Beta Congress), Rotterdam, The Netherlands, October 2012. | | 37. | A novel predictive control based framework for optimizing intermodal container terminal operations. J. Lemos Nabais, R.R. Negenborn, M. Ayala Botto. In Proceedings of the 3rd International Conference on Computational Logistics (ICCL 2012), Shanghai, China, pp. 53-71, September 2012. | | 36. | 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. | | 35. | 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. | | 34. | Model predictive control of combined irrigation and water supply systems:
Application to the Guadiana river. V. Puig, C. Ocampo-Martinez, J. Romera, J.Quevedo, P. Rodriguez, S. de Campos, R.R. Negenborn. In Proceedings of the 2012 IEEE International Conference on Networking, Sensing and Control (ICNSC 2012), Beijing, China, pp. 85-90, April 2012. | | 33. | 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. | | 32. | 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. | | 31. | Optimization of asset management of transformers based on predictive health model of paper degradation. G. Bajracharya, T. Koltunowicz, R.R. Negenborn, D. Djairam, B. De Schutter, J.J. Smit. In Proceedings of the 17th International Symposium on High Voltage Engineering (ISH 2011), Hannover, Germany, August 2011. | | 30. | 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. | | 29. | Hybrid model predictive control using time-instant optimization for the Rhine-Meuse Delta. H. van Ekeren, R.R. Negenborn, P.J. van Overloop, B. De Schutter. In Proceedings of the 2011 IEEE International Conference on Networking, Sensing and Control (ICNSC 2011), Delft, The Netherlands, pp. 216-221, April 2011. | | 28. | Towards integrating water prediction and control technology. P.J. van Overloop, R.R. Negenborn, D. Schwanenberg, B. De Schutter. In Proceedings of the 2011 IEEE International Conference on Networking, Sensing and Control (ICNSC 2011), Delft, The Netherlands, pp. 80-85, April 2011. | | 27. | 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. | | 26. | 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. | | 25. | Demand response with micro-CHP systems. M. Houwing, R.R. Negenborn, B. De Schutter. Proceedings of the IEEE, vol. 99, no. 1, pp. 200-213, January 2011. | | 24. | Linking water and energy objectives in lowland areas through the application of model predictive control. P.J. van Overloop, R.R. Negenborn, S.V. Weijs, W. Malda, M.R. Bruggers, B. De Schutter. In Proceedings of the 2010 IEEE International Conference on Control Applications (2010 CCA), Yokohama, Japan, pp. 1887-1891, September 2010. | | 23. | Optimization of transformer loading based on hot-spot temperature using a predictive health model. G. Bajracharya, T. Koltunowicz, R.R. Negenborn, D. Djairam, B. De Schutter, J.J. Smit. In Proceedings of the 2010 International Conference on Condition Monitoring and Diagnosis (CMD 2010), Tokyo, Japan, pp. 914-917, September 2010. | | 22. | A pattern search method for improving the operation of sewer systems. S. Leirens, J.M. Giraldo, R.R. Negenborn, B. De Schutter. In Proceedings of the 12th IFAC Large Scale Systems Symposium (LSS 2010), Villeneuve d'Ascq, France, July 2010. | | 21. | 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. | | 20. | 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. | | 19. | 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. | | 18. | 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. | | 17. | 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. | | 16. | Supervisory nonlinear MPC for emergency voltage control using pattern search. R.R. Negenborn, S. Leirens, B. De Schutter, J. Hellendoorn. Control Engineering Practice, vol. 17, no. 7, pp. 841-848, July 2009. | | 15. | 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. | | 14. | Model predictive control of micro cogeneration fuel cell systems. M. Houwing, R.R. Negenborn, M.D. Ilic, B. De Schutter. In Proceedings of the 2009 IEEE International Conference on Networking, Sensing, and Control (ICNSC 2009), Okayama City, Japan, pp. 708-713, March 2009. | | 13. | Model predictive control for residential energy resources using a mixed-logical dynamic model. R.R. Negenborn, M. Houwing, B. De Schutter, J. Hellendoorn. In Proceedings of the 2009 IEEE International Conference on Networking, Sensing, and Control (ICNSC 2009), Okayama City, Japan, pp. 702-707, March 2009. | | 12. | 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. | | 11. | Adaptive prediction model accuracy in the control of residential energy resources. R.R. Negenborn, M. Houwing, B. De Schutter, J. Hellendoorn. In Proceedings of the 2008 IEEE Multi-conference on Systems and Control (MSC 2008), San Antonio, Texas, pp. 311-316, September 2008. | | 10. | Economic advantages of applying model predictive control to distributed energy resources: The case of micro-CHP systems. M. Houwing, R.R. Negenborn, B. De Schutter. In Proceedings of the 16th Mediterranean Conference on Systems and Automation (MED'08), Ajaccio, France, pp. 1550-1555, June 2008. | | 9. | 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. | | 8. | 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. | | 7. | Least-cost model predictive control of residential energy resources when applying mCHP. M. Houwing, R.R. Negenborn, P. Heijnen, B. De Schutter, J. Hellendoorn. In Proceedings of Power Tech 2007 (PT 2007), Lausanne, Switzerland, July 2007. | | 6. | 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. | | 5. | 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. | | 4. | 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. | | 3. | 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. | | 2. | Learning-based model predictive control for Markov decision processes. R.R. Negenborn, B. De Schutter, M.A. Wiering, J. Hellendoorn. In Proceedings of the 16th IFAC World Congress, Prague, Czech Republic, July 2005. Paper 2106 / We-M16-TO/2. | | 1. | Experience-based model predictive control using reinforcement learning. R.R. Negenborn, B. De Schutter, M.A. Wiering, J. Hellendoorn. In Proceedings of the 8th TRAIL Congress 2004 --- A World of Transport, Infrastructure and Logistics --- CD-ROM, Rotterdam, The Netherlands, November 2004. |
|
|
|
