Bart De Schutter

Identifiers

• name variant Bart De Schutter 0.60 · backfill

Papers (19)

1. Current Practices in Electricy Demand and Charging Scheduling for On-Road Electric Fleet Operations: An Industry-Wide Review eess.SY · 2026 · author #2
2. Temporal Logic Control of Nonlinear Stochastic Systems with Online Performance Optimization eess.SY · 2026 · author #5
3. Adaptive Tuning of Parameterized Traffic Controllers via Multi-Agent Reinforcement Learning cs.LG · 2025 · author #3
4. Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models eess.SY · 2025 · author #5
5. Second-Order MPC-Based Distributed Q-Learning eess.SY · 2025 · author #4
6. Uniform Feasibility For Smoothed Backup Control Barrier Functions math.OC · 2025 · author #2
7. Approximate Model Predictive Control for Microgrid Energy Management via Imitation Learning eess.SY · 2025 · author #5
8. WaveletInception Networks for on-board Vibration-Based Infrastructure Health Monitoring cs.LG · 2025 · author #3
9. Distributed model predictive control without terminal cost under inexact distributed optimization eess.SY · 2025 · author #5
10. Stochastic Optimal Power Flow in Distribution Grids under Uncertainty from State Estimation eess.SY · 2019 · author #3
11. Integrated Offline and Online Optimization-Based Control in a Base-Parallel Architecture eess.SY · 2019 · author #4
12. Efficient convex optimization for optimal PMU placement in large distribution grids cs.SY · 2018 · author #3
13. Forecasting day-ahead electricity prices in Europe: the importance of considering market integration q-fin.ST · 2017 · author #4
14. Controllability of Linear Positive Systems: An Alternative Formulation math.OC · 2017 · author #3
15. A Two-Step Distribution System State Estimator with Grid Constraints and Mixed Measurements cs.SY · 2017 · author #4
16. Reinforcement Learning Applied to an Electric Water Heater: From Theory to Practice cs.LG · 2015 · author #4
17. Residential Demand Response Applications Using Batch Reinforcement Learning cs.SY · 2015 · author #4
18. A distributed accelerated gradient algorithm for distributed model predictive control of a hydro power valley math.OC · 2013 · author #4
19. A distributed optimization-based approach for hierarchical model predictive control of large-scale systems with coupled dynamics and constraints math.OC · 2011 · author #3

Mentions

• 1810.12195 #3 · arxiv_oai · confidence 0.70 Bart De Schutter
• 1703.10815 #4 · arxiv_oai · confidence 0.70 Bart De Schutter
• 1504.02125 #4 · arxiv_oai · confidence 0.70 Bart De Schutter
• 1302.2093 #4 · arxiv_oai · confidence 0.70 Bart De Schutter
• 1109.1214 #3 · arxiv_oai · confidence 0.70 Bart De Schutter
• 1504.02125 #4 · backfill · confidence 0.70 Bart De Schutter
• 2605.31396 #2 · arxiv_oai · confidence 0.70 Bart De Schutter
• 2504.15768 #5 · arxiv_oai · confidence 0.70 Bart De Schutter
• 1302.2093 #4 · backfill · confidence 0.70 Bart De Schutter
• 1109.1214 #3 · backfill · confidence 0.70 Bart De Schutter
• 2507.12969 #3 · arxiv_oai · confidence 0.70 Bart De Schutter

Frequent Coauthors

• Azita Dabiri 4 shared papers
• Adolfo Anta 3 shared papers
• Anil Alan 2 shared papers
• Bert Claessens 2 shared papers
• Frederik Ruelens 2 shared papers
• Miguel Picallo 2 shared papers
• Minh Dang Doan 2 shared papers
• Robert Babuska 2 shared papers
• Ronnie Belmans 2 shared papers
• Samuel Mallick 2 shared papers
• Tam\'as Keviczky 2 shared papers
• Alessandro Abate 1 shared papers
• Alessandro Riccardi 1 shared papers
• Alessio La Bella 1 shared papers
• Alexandre M. Bayen 1 shared papers
• Alfredo Nunez 1 shared papers
• Anahita Jamshidnejad 1 shared papers
• Anders Rantzer 1 shared papers
• Ara Panosyan 1 shared papers
• Changrui Liu 1 shared papers