Publications 2021-2024

Bart De Schutter

Years:
    2024          2023          2022          2021     

Note: If the pdf file (pdf) of the technical report that corresponds to a given publication is available, then this is indicated at the end of the entry for that publication.



2024
  1. L. Gharavi, C. Liu, B. De Schutter, and S. Baldi, "Sensitivity analysis for piecewise-affine approximations of nonlinear programs with polytopic constraints," Proceedings of the 63rd IEEE Conference on Decision and Control, Milan, Italy, Dec. 2024.  (bibtex)

  2. K. He, S. Shi, T.J.J. van den Boom, and B. De Schutter, "Efficient and safe learning-based control of piecewise affine systems using optimization-free safety filters," Proceedings of the 63rd IEEE Conference on Decision and Control, Milan, Italy, Dec. 2024.  (bibtex)

  3. C. Liu, S. Shi, and B. De Schutter, "Stability and performance analysis of model predictive control of uncertain linear systems," Proceedings of the 63rd IEEE Conference on Decision and Control, Milan, Italy, Dec. 2024.  (bibtex)

  4. A. Riccardi, L. Laurenti, and B. De Schutter, "A generalized partitioning strategy for distributed control," Proceedings of the 63rd IEEE Conference on Decision and Control, Milan, Italy, Dec. 2024.  (abstractbibtex)

  5. D. Sun, A. Jamshidnejad, and B. De Schutter, "Adaptive parameterized model predictive control based on reinforcement learning: A synthesis framework," Engineering Applications of Artificial Intelligence, vol. 136-B, p. 109009, Oct. 2024.  (online paper  [open access]abstractbibtex)

  6. S. Mallick, F. Airaldi, A. Dabiri, and B. De Schutter, "Multi-agent reinforcement learning via distributed MPC as a function approximator," Automatica, vol. 167, p. 111803, Sept. 2024.  (online paper  [open access]abstractbibtex)

  7. H. Zhang, X. Liu, D. Sun, A. Dabiri, and B. De Schutter, "Integrated reinforcement learning and optimization for railway timetable rescheduling," Proceedings of the 17th IFAC Symposium on Control in Transportation Systems (CTS 2024), Ayia Napa, Cyprus, pp. 310-315, July 2024.  (online paper  [open access]abstractbibtex)

  8. A. Athrey, O. Mazhar, M. Guo, B. De Schutter, and S. Shi, "Regret analysis of learning-based linear quadratic gaussian control with additive exploration," Proceedings of the 2024 European Control Conference, Stockholm, Sweden, pp. 1795-1801, June 2024.  (online paperabstractbibtex)

  9. F. Cordiano and B. De Schutter, "Scenario reduction with guarantees for stochastic optimal control of linear systems," Proceedings of the 2024 European Control Conference, Stockholm, Sweden, pp. 3502-3508, June 2024.  (online paperabstractbibtex)

  10. S. Markkassery, T. van den Boom, and B. De Schutter, "Eigenvalues of time-invariant max-min-plus-scaling discrete-event systems," Proceedings of the 2024 European Control Conference, Stockholm, Sweden, pp. 2017-2022, June 2024.  (online paperbibtex)

  11. S. Shi, Z. Sun, and B. De Schutter, "A behavioral perspective on models of linear dynamical networks with manifest variables," Proceedings of the 2024 European Control Conference, Stockholm, Sweden, pp. 2927-2933, June 2024.  (online paperabstractbibtex)

  12. T. Tao, S. Roy, B. De Schutter, and S. Baldi, "Adaptive synchronization of uncertain underactuated Euler-Lagrange agents," IEEE Transactions on Automatic Control, vol. 69, no. 6, pp. 3912-3927, June 2024.  (online paperabstractbibtex)

  13. X. Liu, A. Dabiri, Y. Wang, and B. De Schutter, "Real-time train scheduling with uncertain passenger flows: A scenario-based distributed model predictive control approach," IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 5, pp. 4219-4232, May 2024.  (online paper  [open access]abstractbibtextech. rep. (pdf))

  14. S. Markkassery, T. van den Boom, and B. De Schutter, "Stability of time-invariant max-min-plus-scaling discrete-event systems with diverse states," Proceedings of the 17th IFAC Workshop on Discrete Event Systems (WODES 2024), Rio de Janeiro, Brazil, pp. 60-65, Apr.-May 2024.  (online paper  [open access]abstractbibtex)

  15. A. Moradvandi, E. Abraham, A. Goudjil, B. De Schutter, and R.E.F. Lindeboom, "An identification algorithm of switched Box-Jenkins systems in the presence of bounded disturbances: An approach for approximating complex biological wastewater treatment models," Journal of Water Process Engineering, vol. 60, p. 105202, Apr. 2024.  (online paper  [open access]abstractbibtex)

  16. C. Liu, S. Shi, and B. De Schutter, "Stability and performance analysis of model predictive control of uncertain linear systems - Addendum," Tech. rep. 24-007a, Delft Center for Systems and Control, Delft University of Technology, Delft, The Netherlands, Mar. 2024.  (abstractbibtexreport (pdf))

  17. D. Yue, S. Baldi, J. Cao, and B. De Schutter, "Model reference adaptive stabilizing control with application to leaderless consensus," IEEE Transactions on Automatic Control, vol. 69, no. 3, pp. 2052-2059, Mar. 2024.  (online paperabstractbibtex)

  18. L. Gharavi, B. De Schutter, and S. Baldi, "H4MPC: A hybridization toolbox for model predictive control in automated driving," Proceedings of the 2024 IEEE 18th International Conference on Advanced Motion Control (AMC2024), Kyoto, Japan, 6 pp., Feb.-Mar. 2024.  (online paperbibtex)

  19. K. He, S. Shi, T. van den Boom, and B. De Schutter, "Approximate dynamic programming for constrained linear systems: A piecewise quadratic approximation approach," Automatica, vol. 160, p. 111456, Feb. 2024.  (online paper  [open access]bibtex)

  20. T. Tao, S. Roy, B. De Schutter, and S. Baldi, "Distributed adaptive synchronization in Euler Lagrange networks with uncertain interconnections," IEEE Transactions on Automatic Control, vol. 69, no. 2, pp. 1081-1088, Feb. 2024.  (online paperbibtex)

  21. L. Gharavi, A. Dabiri, J. Verkuijlen, B. De Schutter, and S. Baldi, "Proactive emergency collision avoidance for automated driving in highway scenarios," IEEE Transactions on Control Systems Technology, 2024. To appear.  (bibtex)

  22. L. Gharavi, C. Liu, B. De Schutter, and S. Baldi, "Sensitivity analysis for piecewise-affine approximations of nonlinear programs with polytopic constraints," IEEE Control Systems Letters, vol. 8, pp. 1271-1276, 2024.  (online paperbibtex)

  23. A. Jamshidnejad and B. De Schutter, "A combined probabilistic-fuzzy approach for dynamic modeling of traffic in smart cities: Handling imprecise and uncertain traffic data," Computers and Electrical Engineering, vol. 119-A, p. 109552, 2024.  (online paper  [open access]abstractbibtex)

  24. X. Liu, A. Dabiri, Y. Wang, J. Xun, and B. De Schutter, "Distributed model predictive control for virtually coupled heterogeneous trains: Comparison and assessment," IEEE Transactions on Intelligent Transportation Systems, 2024. To appear.  (online paper  [open access]abstractbibtex)

  25. D. Sun, A. Jamshidnejad, and B. De Schutter, "A novel framework combining MPC and deep reinforcement learning with application to freeway traffic control," IEEE Transactions on Intelligent Transportation Systems, vol. 25, no. 7, pp. 6756-6769, 2024.  (online paper  [open access]abstractbibtex)

  26. A. Đuraš, B.J. Wolf, A. Ilioudi, I. Palunko, and B. De Schutter, "A dataset for detection and segmentation of underwater marine debris in shallow waters," Scientific Data, vol. 11, p. 921, 2024.  (online paper  [open access]abstractbibtex)

  27. J. Xu, Y. Lou, B. De Schutter, and Z. Xiong, "Error-free approximation of explicit linear MPC through lattice piecewise affine expression," IEEE Transactions on Automatic Control, 2024. To appear.  (online paperabstractbibtex)



2023
  1. A. Alloul, A. Moradvandi, D. Puyol, R. Molina, G. Gardella, S.E. Vlaeminck, B. De Schutter, E. Abraham, R.E.F. Lindeboom, and D.G. Weissbrodt, "A novel mechanistic modelling approach for microbial selection dynamics: Towards improved design and control of raceway reactors for purple bacteria," Bioresource Technology, vol. 390, p. 129844, Dec. 2023.  (online paper  [open access]abstractbibtex)

  2. X. Liu, A. Dabiri, J. Xun, and B. De Schutter, "Bi-level model predictive control for metro networks: Integration of timetables, passenger flows, and train speed profiles," Transportation Research Part E, vol. 180, p. 103339, Dec. 2023.  (online paper  [open access]abstractbibtextech. rep. (pdf))

  3. D. Yue, S. Baldi, J. Cao, Q. Li, and B. De Schutter, "Distributed adaptive resource allocation: An uncertain saddle-point dynamics viewpoint," IEEE/CAA Journal of Automatica Sinica, vol. 10, no. 12, pp. 2209-2221, Dec. 2023.  (online paperabstractbibtextech. rep. (pdf))

  4. E. de Gelder, K. Adjenughwure, J. Manders, R. Snijders, J.P. Paardekooper, O. Op den Camp, A. Tejada, and B. De Schutter, "PRISMA: A novel approach for deriving probabilistic surrogate safety measures for risk evaluation," Accident Analysis & Prevention, vol. 192, p. 107273, Nov. 2023.  (online paperbibtex)

  5. A. Jamshidnejad, D. Sun, A. Ferrara, and B. De Schutter, "A novel bi-level temporally-distributed MPC approach: An application to green urban mobility," Transportation Research Part C, vol. 156, p. 104334, Nov. 2023.  (online paper  [open access]abstractbibtextech. rep. (pdf))

  6. A. Alloul, A. Moradvandi, D. Puyol, R. Molina, G. Gardella, S.E. Vlaeminck, B. De Schutter, E. Abraham, R.E.F. Lindeboom, and D.G. Weissbrodt, "A novel mechanistic modelling approach for microbial selection dynamics: Towards improved design and control of raceway reactors for purple bacteria - supplementary material," Tech. rep., Delft University of Technology, Delft, The Netherlands, Oct. 2023.  (bibtex)

  7. M. Ubbens and B. De Schutter, "Optimal control of offshore wind farm collector systems during outages," Proceedings of the 2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm), Glasgow, UK, Oct.-Nov. 2023.  (online paperbibtex)

  8. A.D. Sadowska, J.M. Maestre, R. Kassing, P.J. van Overloop, and B. De Schutter, "Predictive control of a human–in–the–loop network system considering operator comfort requirements," IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 53, no. 8, pp. 4610-4622, Aug. 2023.  (online paperbibtex)

  9. S. Siri, C. Pasquale, N. Bhouri, B. De Schutter, M. Ghazel, and F. Viti, "Guest editorial: Innovative control approaches for smart transportation systems," Control Engineering Practice, vol. 137, p. 105564, Aug. 2023.  (online versionbibtex)

  10. F. Airaldi, B. De Schutter, and A. Dabiri, "Learning safety in model-based reinforcement learning using MPC and Gaussian processes," Proceedings of the 22nd IFAC World Congress, Yokohama, Japan, pp. 5759-5764, July 2023.  (online paper  [open access]bibtex)

  11. F. Cordiano, M. Fochesato, L. Huang, and B. De Schutter, "Provably-stable stochastic MPC for a class of nonlinear contractive systems," Proceedings of the 22nd IFAC World Congress, Yokohama, Japan, pp. 11242-11248, July 2023.  (online paper  [open access]abstractbibtextech. rep. (pdf))

  12. L. Gharavi, B. De Schutter, and S. Baldi, "Parametric piecewise-affine approximation of nonlinear systems: A cut-based approach," Proceedings of the 22nd IFAC World Congress, Yokohama, Japan, pp. 6666-6671, July 2023.  (online paper  [open access]abstractbibtextech. rep. (pdf))

  13. X. Liu, A. Dabiri, and B. De Schutter, "Scenario-based MPC for real-time passenger-centric timetable scheduling of urban rail transit networks," Proceedings of the 22nd IFAC World Congress, Yokohama, Japan, pp. 2347-2352, July 2023.  (online paper  [open access]abstractbibtextech. rep. (pdf))

  14. A. Moradvandi, R.E.F. Lindeboom, E. Abraham, and B. De Schutter, "Models and methods for hybrid system identification: A systematic survey," Proceedings of the 22nd IFAC World Congress, Yokohama, Japan, pp. 95-107, July 2023.  (online paper  [open access]abstractbibtextech. rep. (pdf))

  15. R. Ranjbar, A. Sadowska, J.M. Maestre, P.J. van Overloop, and B. De Schutter, "Predictive control of irrigation canals considering well-being of operators," Proceedings of the 22nd IFAC World Congress, Yokohama, Japan, pp. 731-736, July 2023.  (online paper  [open access]bibtex)

  16. S. Shi, X. Cheng, B. De Schutter, and P.M.J. Van den Hof, "Signal selection for local module identification in linear dynamic networks: A graphical approach," Proceedings of the 22nd IFAC World Congress, Yokohama, Japan, pp. 2407-2412, July 2023.  (online paper  [open access]abstractbibtextech. rep. (pdf))

  17. D. Sun, A. Jamshidnejad, and B. De Schutter, "Adaptive parameterized control for coordinated traffic management using reinforcement learning," Proceedings of the 22nd IFAC World Congress, Yokohama, Japan, pp. 5463-5468, July 2023.  (online paper  [open access]abstractbibtextech. rep. (pdf))

  18. D. Sun, A. Jamshidnejad, and B. De Schutter, "Optimal sub-references for setpoint tracking: A multi-level MPC approach," Proceedings of the 22nd IFAC World Congress, Yokohama, Japan, pp. 9411-9416, July 2023.  (online paper  [open access]abstractbibtextech. rep. (pdf))

  19. T. van den Boom, A. Gupta, B. De Schutter, and R. Beek, "Max-min-plus-scaling systems in a discrete-event framework with an application in urban railway," Proceedings of the 22nd IFAC World Congress, Yokohama, Japan, pp. 7906-7911, July 2023.  (online paper  [open access]bibtex)

  20. A. Ilioudi, B.J. Wolf, A. Dabiri, and B. De Schutter, "Towards establishing an automated selection framework for underwater image enhancement methods," Proceedings of the OCEANS 2023, Limerick, Ireland, June 2023.  (online paperabstractbibtextech. rep. (pdf))

  21. J. Fu, S. Peyghami, A. Núñez, F. Blaabjerg, and B. De Schutter, "A tractable failure probability prediction model for predictive maintenance scheduling of large-scale modular-multilevel-converters," IEEE Transactions on Power Electronics, vol. 38, no. 5, p. 6533-6544, May 2023.  (online paperbibtex)

  22. J. Jeschke, D. Sun, A. Jamshidnejad, and B. De Schutter, "Grammatical-evolution-based parameterized model predictive control for urban traffic networks," Control Engineering Practice, vol. 132, p. 105431, Mar. 2023.  (online paper  [open access]abstractbibtextech. rep. (pdf))

  23. X. Liu, A. Dabiri, Y. Wang, and B. De Schutter, "Modeling and efficient passenger-oriented control for urban rail transit networks," IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 3, pp. 3325-3338, Mar. 2023.  (online paper  [open access]abstractbibtextech. rep. (pdf))

  24. M. Lv, B. De Schutter, and S. Baldi, "Non-recursive control for formation-containment of HFV swarms with dynamic event-triggered communication," IEEE Transactions on Industrial Informatics, vol. 19, no. 3, Mar. 2023.  (online paperbibtex)

  25. L.A. de Araujo Passos, T.J. Ceha, S. Baldi, and B. De Schutter, "Model predictive control of a thermal chimney and dynamic solar shades for an all-glass facades building," Energy, vol. 264, p. 126177, Feb. 2023.  (online paperbibtex)

  26. M. Lv, B. De Schutter, J. Cao, and S. Baldi, "Adaptive prescribed performance asymptotic tracking for high-order odd-rational-power nonlinear systems," IEEE Transactions on Automatic Control, vol. 68, no. 2, pp. 1047-1053, Feb. 2023.  (online paperbibtex)

  27. J. Fransman, J. Sijs, H. Dol, E. Theunissen, and B. De Schutter, "Distributed Bayesian: A continuous distributed constraint optimization problem solver," Journal of Artificial Intelligence Research, vol. 76, pp. 393-433, Jan. 2023.  (online paper  [open access]bibtex)

  28. J. Fu, A. Núñez, and B. De Schutter, "A bidding mechanism for maintenance of generation units considering inter-ISO power exchange," International Journal of Electrical Power and Energy Systems, vol. 144, p. 108595, Jan. 2023.  (online paper  [open access]bibtex)

  29. X. Wang, S. Baldi, X. Feng, C. Wu, H. Xie, and B. De Schutter, "A fixed-wing UAV formation algorithm based on vector field guidance," IEEE Transactions on Automation Science and Engineering, vol. 20, no. 1, pp. 179-192, Jan. 2023.  (online paperbibtex)

  30. Y. Wang, S. Lin, Y. Wang, B. De Schutter, and J. Xu, "Robustness analysis of platoon control for mixed types of vehicles," IEEE Transactions on Intelligent Transportation Systems, vol. 24, no. 1, pp. 331-340, Jan. 2023.  (online paperabstractbibtextech. rep. (pdf))

  31. A. Castelletti, A. Ficchi, A. Cominola, P. Segovia, M. Giuliani, W. Wu, S. Lucia, C. Ocampo-Martinez, B. De Schutter, and J.M. Maestre, "Model predictive control of water resources systems: A review and research agenda," Annual Reviews in Control, vol. 55, pp. 442-465, 2023.  (online paper  [open access]bibtex)

  32. L.A. de Araujo Passos, P. van den Engel, S. Baldi, and B. De Schutter, "Dynamic optimization for minimal HVAC demand with latent heat storage, heat recovery, natural ventilation, and solar shadings," Energy Conversion and Management, vol. 276, p. 116573, 2023.  (online paperbibtex)

  33. E.-A. Eigbe, B. De Schutter, M. Nasri, and N. Yorke-Smith, "Sequence- and time-dependent maintenance scheduling in twice re-entrant flow shops," IEEE Access, vol. 11, pp. 103461-103475, 2023.  (online paper  [open access]bibtex)

  34. W. Phusakulkajorn, A. Núñez, H. Wang, A. Jamshidi, A. Zoeteman, B. Ripke, R. Dollevoet, B. De Schutter, and Z. Li, "Artificial intelligence in railway infrastructure: Current research, challenges, and future opportunities," Intelligent Transportation Infrastructure, vol. 2, 2023. Paper liad016.  (online paper  [open access]bibtex)

  35. S. Shi, O. Mazhar, and B. De Schutter, "Finite-sample analysis of identification of switched linear systems with arbitrary or restricted switching," IEEE Control Systems Letters, vol. 7, pp. 121-126, 2023.  (online paperabstractbibtextech. rep. (pdf))

  36. F. Storani, R. Di Pace, and B. De Schutter, "A traffic responsive control framework for signalized junctions based on hybrid traffic flow representation," Journal of Intelligent Transportation Systems, vol. 27, no. 5, pp. 606-625, 2023.  (online paperbibtex)

  37. K. Wu, B. De Schutter, J. Rezaei, and L. Tavasszy, "Decision analysis and coordination in green supply chains with stochastic demand," International Journal of Systems Science: Operations & Logistics, vol. 10, no. 1, p. 2208277, 2023.  (online paper  [open access]bibtex)



2022
  1. M. Lv, Z. Chen, B. De Schutter, and S. Baldi, "Prescribed-performance tracking for high-power nonlinear dynamics with time-varying unknown control coefficients," Automatica, vol. 146, p. 110584, Dec. 2022.  (online paperbibtex)

  2. J. Fu, A. Núñez, and B. De Schutter, "Accelerated optimal maintenance scheduling for generation units on a truthful platform," Energy Reports, vol. 8, pp. 9777-9786, Nov. 2022.  (online paper  [open access]bibtex)

  3. Y. Wang, S. Zhu, S. Li, L. Yang, and B. De Schutter, "Hierarchical model predictive control for on-line high-speed railway delay management and train control in a dynamic operations environment," IEEE Transactions on Control Systems Technology, vol. 30, no. 6, pp. 2344-2359, Nov. 2022.  (online paperabstractbibtex)

  4. E.A. Bartels, T. Pippia, and B. De Schutter, "Influence of hydrogen on grid investments for smart microgrids," International Journal of Electrical Power and Energy Systems, vol. 141, Oct. 2022. Article 107968.  (online paper  [open access]bibtex)

  5. E. de Gelder, J. Hof, E. Cator, J.P. Paardekooper, O. Op den Camp, J. Ploeg, and B. De Schutter, "Scenario parameter generation method and scenario representativeness metric for scenario-based assessment of automated vehicles," IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 10, pp. 18794-18807, Oct. 2022.  (online paperbibtex)

  6. W. Remmerswaal, D. Sun, A. Jamshidnejad, and B. De Schutter, "Combined MPC and reinforcement learning for traffic signal control in urban traffic networks," Proceedings of the 2022 26th International Conference on System Theory, Control and Computing (ICSTCC), Sinaia, Romania, pp. 432-439, Oct. 2022.  (online paperabstractbibtextech. rep. (pdf))

  7. Q. Tao, Z. Li, J. Xu, S. Lin, B. De Schutter, and J.A.K. Suykens, "Short-term traffic flow prediction based on the efficient hinging hyperplanes neural network," IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 9, pp. 15616-15628, Sept. 2022.  (online paperbibtex)

  8. X. Liu, A. Dabiri, and B. De Schutter, "Timetable scheduling for passenger-centric urban rail networks: Model predictive control based on a novel absorption model," Proceedings of the 2022 IEEE Conference on Control Technology and Applications (CCTA), Trieste, Italy, pp. 1147-1152, Aug. 2022.  (online paperabstractbibtextech. rep. (pdf))

  9. R. Carli, G. Cavone, T. Pippia, B. De Schutter, and M. Dotoli, "Robust optimal control for demand side management of multi-carrier microgrids," IEEE Transactions on Automation Science and Engineering, vol. 19, no. 3, pp. 1338-1351, July 2022.  (online paperbibtex)

  10. E. de Gelder, J.P. Paardekooper, A.K. Saberi, K. Arash, H. Elrofai, O. Op den Camp, S. Kraines, J. Ploeg, and B. De Schutter, "Towards an ontology for scenario definition for the assessment of automated vehicles: An object-oriented framework," IEEE Transactions on Intelligent Vehicles, vol. 7, no. 2, pp. 300-314, June 2022.  (online paperbibtex)

  11. E.-A. Eigbe, B. De Schutter, M. Nasri, and N. Yorke-Smith, "Predictive maintenance scheduling in twice re-entrant flow shops with due dates," Proceedings of the 15th Scheduling and Planning Applications woRKshop (SPARK) - ICAPS 2022 Workshop, (Virtual), 8 pp., June 2022. Paper 3.  (bibtex)

  12. J. Fu, A. Núñez, and B. De Schutter, "Real-time UAV routing strategy for monitoring and inspection for postdisaster restoration of distribution networks," IEEE Transactions on Industrial Informatics, vol. 18, no. 4, pp. 2582-2592, Apr. 2022.  (online paperbibtex)

  13. D. Yue, S. Baldi, J. Cao, and B. De Schutter, "Distributed adaptive optimization with weight-balancing," IEEE Transactions on Automatic Control, vol. 67, no. 4, pp. 2068-2075, Apr. 2022.  (online paperabstractbibtextech. rep. (pdf))

  14. S. Liu, A. Sadowska, and B. De Schutter, "A scenario-based distributed model predictive control approach for freeway networks," Transportation Research Part C, vol. 136, p. 103261, Mar. 2022.  (online paperbibtex)

  15. M. Lv, B. De Schutter, C. Shi, and S. Baldi, "Logic-based distributed switching control for agents in power-chained form with multiple unknown control directions," Automatica, vol. 137, p. 110143, Mar. 2022.  (online paper  [open access]bibtex)

  16. C. Orozco, A. Borghetti, B. De Schutter, F. Napolitano, G. Pulazza, and F. Tossani, "Intra-day scheduling of a local energy community coordinated with day-ahead multistage decisions," Sustainable Energy, Grids and Networks, vol. 29, Mar. 2022. Paper 100573.  (online paperbibtex)

  17. U. Todorovic, J.R.D. Frejo, and B. De Schutter, "Distributed MPC for large freeway networks using alternating optimization," IEEE Transactions on Intelligent Transportation Systems, vol. 23, no. 3, pp. 1875-1884, Mar. 2022.  (online paperbibtex)

  18. G. Cavone, T. van den Boom, L. Blenkers, M. Dotoli, C. Seatzu, and B. De Schutter, "An MPC-based rescheduling algorithm for disruptions and disturbances in large-scale railway networks," IEEE Transactions on Automation Science and Engineering, vol. 19, no. 1, p. 99-112, Jan. 2022.  (online paperbibtex)

  19. D. Li and B. De Schutter, "Distributed model-free adaptive predictive control for urban traffic network," IEEE Transactions on Control Systems Technology, vol. 30, no. 1, pp. 180-192, Jan. 2022.  (online paperbibtex)

  20. A. Ilioudi, A. Dabiri, B.J. Wolf, and B. De Schutter, "Deep learning for object detection and segmentation in videos: Towards an integration with domain knowledge," IEEE Access, vol. 10, pp. 34562-34576, 2022.  (online paper  [open access]abstractbibtextech. rep. (pdf))



2021
  1. M. Damoiseaux and B. De Schutter, "An efficient dispersion model for control of emission levels in the vicinity of freeways," Proceedings of the 24th IEEE Intelligent Transportation Systems Conference (ITSC2021), Indianapolis, Indiana, Sept. 2021.  (bibtex)

  2. J. Lago, G. Suryanarayana, E. Sogancioglu, and B. De Schutter, "Optimal control strategies for seasonal thermal energy storage systems with market interaction," IEEE Transactions on Control Systems Technology, vol. 29, no. 5, pp. 1891-1906, Sept. 2021.  (online paper  [open access]bibtex)

  3. T. Pippia, J. Lago, R. De Coninck, and B. De Schutter, "Scenario-based nonlinear model predictive control for building heating systems," Energy and Buildings, vol. 247, p. 111108, Sept. 2021.  (online paper  [open access]bibtex)

  4. S. Lin and B. De Schutter, "Controller design for stabilizing bilinear systems with state-based switching," Nonlinear Analysis: Hybrid Systems, vol. 41, p. 101009, Aug. 2021.  (online paperabstractbibtextech. rep. (pdf))

  5. M. Lv, B. De Schutter, W. Yu, and S. Baldi, "Adaptive asymptotic tracking for a class of uncertain switched positive compartmental models with application to anesthesia," IEEE Transactions on Systems, Man and Cybernetics: Systems, vol. 51, no. 8, pp. 4936-4942, Aug. 2021.  (online paperbibtex)

  6. N. Wu, D. Li, Y. Xi, and B. De Schutter, "Distributed event-triggered model predictive control for urban traffic lights," IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 8, pp. 4975-4985, Aug. 2021.  (online paperbibtex)

  7. E. de Gelder, E. Cator, J.P. Paardekooper, O. Op den Camp, and B. De Schutter, "Constrained sampling from a kernel density estimator to generate scenarios for the assessment of automated vehicles," Proceedings of the 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), Nagoya, Japan, pp. 203-208, July 2021.  (online paperbibtex)

  8. J. Lago, G. Marcjasz, B. De Schutter, and R. Weron, "Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark," Applied Energy, vol. 293, July 2021. Article 116983.  (online paper  [open access]bibtex)

  9. T.J. Ceha, L.A. de Araujo Passos, S. Baldi, and B. De Schutter, "Model predictive control for optimal integration of a thermal chimney and solar shaded building," Proceedings of the 29th Mediterranean Conference on Control and Automation (MED 2021), Bari, Italy, June 2021.  (bibtex)

  10. J. Jeschke and B. De Schutter, "Parametrized model predictive control approaches for urban traffic networks," Proceedings of the 16th IFAC Symposium on Control in Transportation Systems (CTS 2021), Lille, France, pp. 284-291, June 2021.  (online paper  [open access]abstractbibtextech. rep. (pdf))

  11. D. Yue, S. Baldi, J. Cao, Q. Li, and B. De Schutter, "A directed spanning tree adaptive control solution to time-varying formations," IEEE Transactions on Control of Network Systems, vol. 8, no. 2, pp. 690-701, June 2021.  (online paperabstractbibtextech. rep. (pdf))

  12. J.R.D. Frejo and B. De Schutter, "Logic-based traffic flow control for ramp metering and variable speed limits - Part 1: Controller," IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 5, pp. 2647-2657, May 2021.  (online paperbibtex)

  13. J.R.D. Frejo and B. De Schutter, "Logic-based traffic flow control for ramp metering and variable speed limits - Part 2: Simulation and comparison," IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 5, pp. 2658-2669, May 2021.  (online paperbibtex)

  14. J. Fu, A. Núñez, and B. De Schutter, "A short-term preventive maintenance scheduling method for distribution networks with distributed generators and batteries," IEEE Transactions on Power Systems, vol. 36, pp. 2516-2531, May 2021.  (online paperabstractbibtextech. rep. (pdf))

  15. T.J.J. van den Boom and B. De Schutter, "Analytic expressions in stochastic max-plus-linear algebra and their application in model predictive control," IEEE Transactions on Automatic Control, vol. 66, no. 4, pp. 1872-1878, Apr. 2021.  (online paperabstractbibtextech. rep. (pdf))

  16. J. Lago, K. Poplavskaya, G. Suryanarayana, and B. De Schutter, "A market framework for grid balancing support through imbalances trading," Renewable and Sustainable Energy Reviews, vol. 137, Mar. 2021. Article 110467.  (online paper  [open access]bibtex)

  17. J. Xu, T. van den Boom, and B. De Schutter, "Optimistic optimization for continuous nonconvex piecewise affine functions," Automatica, Mar. 2021. Article 109476.  (online paperabstractbibtextech. rep. (pdf))

  18. J. Fu, G. Song, and B. De Schutter, "Influence of measurement uncertainty on parameter estimation and fault location for transmission lines," IEEE Transactions on Automation Science and Engineering, vol. 18, no. 1, pp. 337-345, Jan. 2021.  (online paperabstractbibtextech. rep. (pdf))

  19. E. de Gelder, H. Elrofai, A.K. Saberi, J.P. Paardekooper, O. Op den Camp, and B. De Schutter, "Risk quantification for automated driving systems in real-world driving scenarios," IEEE Access, vol. 9, pp. 168953-168970, 2021.  (online paper  [open access]bibtex)

  20. J. Lago, G. Marcjasz, B. De Schutter, and R. Weron, "EPFTOOLBOX: The first open-access PYTHON library for driving research in electricity price forecasting (EPF)," WORMS Software (WORking papers in Management Science Software) WORMS/C/21/01, Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology, Wroclaw, Poland, 2021.  (bibtex)

  21. J. Lago, G. Marcjasz, B. De Schutter, and R. Weron, "Erratum to "Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark" [Appl. Energy 293 (2021) 116983]," WORking papers in Management Science (WORMS) WORMS/21/12, Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology, Wroclaw, Poland, 2021.  (bibtex)



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