Publications 2021-2023

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. More information on the pdf file format can be found here. Hardcopies of the papers can also be requested by contacting me.

1. 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, 2023.  (online paper,  bibtex)
   
   

1. 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,  bibtex)
   
   
2. 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 paper,  bibtex)
   
   
3. 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, 2022. To appear.  (online paper,  bibtex)
   
   
4. A. Ilioudi, B. Wolf, A. Dabiri, 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,  bibtex)
   
   
5. 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, 2022. To appear.  (online paper,  bibtex)
   
   
6. 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, 2022. Paper 100573.  (online paper,  bibtex)
   
   
7. 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, 2022. To appear.  (online paper,  bibtex)
   
   

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. 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,  bibtex)
   
   
3. 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)
   
   
4. 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, June 2021.  (bibtex)
   
   
5. 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 paper,  bibtex)
   
   
6. 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 paper,  bibtex)
   
   
7. 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,  bibtex)
   
   
8. J. Xu, T. van den Boom, and B. De Schutter, "Optimistic optimization for continuous nonconvex piecewise affine functions," Automatica, Mar. 2021. Article 109476.  (online paper,  abstract,  bibtex)
   
   
9. 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 paper,  bibtex)
   
   
10. 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, 2021. To appear.  (online paper,  bibtex)
    
    
11. D. Li and B. De Schutter, "Distributed model-free adaptive predictive control for urban traffic network," IEEE Transactions on Control Systems Technology, 2021. To appear.  (online paper,  bibtex)
    
    
12. S. Lin and B. De Schutter, "Controller design for stabilizing bilinear systems with state-based switching," Nonlinear Analysis: Hybrid Systems, 2021. To appear.  (bibtex)
    
    
13. 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, 2021. To appear.  (online paper,  bibtex)
    
    
14. 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, 2021. To appear.  (online paper,  bibtex)