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Journal Articles
- 2024
[j8]Samuel Mallick, Filippo Airaldi, Azita Dabiri, Bart De Schutter:
Multi-agent reinforcement learning via distributed MPC as a function approximator. Autom. 167: 111803 (2024)- [j7]Xiaoyu Liu
, Azita Dabiri, Yihui Wang, Bart De Schutter:
Real-Time Train Scheduling With Uncertain Passenger Flows: A Scenario-Based Distributed Model Predictive Control Approach. IEEE Trans. Intell. Transp. Syst. 25(5): 4219-4232 (2024) - 2023
- [j6]Xiaoyu Liu, Azita Dabiri, Yihui Wang, Bart De Schutter:
Modeling and Efficient Passenger-Oriented Control for Urban Rail Transit Networks. IEEE Trans. Intell. Transp. Syst. 24(3): 3325-3338 (2023) - 2022
- [j5]Athina Ilioudi, Azita Dabiri, Ben J. Wolf, Bart De Schutter:
Deep Learning for Object Detection and Segmentation in Videos: Toward an Integration With Domain Knowledge. IEEE Access 10: 34562-34576 (2022) - [j4]Pablo Borja, Cosimo Della Santina, Azita Dabiri:
On the Role of Coupled Damping and Gyroscopic Forces in the Stability and Performance of Mechanical Systems. IEEE Control. Syst. Lett. 6: 3433-3438 (2022) - [j3]Azita Dabiri, Andreas Hegyi, Serge P. Hoogendoorn:
Optimized Speed Trajectories for Cyclists, Based on Personal Preferences and Traffic Light Information-A Stochastic Dynamic Programming Approach. IEEE Trans. Intell. Transp. Syst. 23(2): 777-793 (2022) - 2017
- [j2]Azita Dabiri, Balázs Kulcsár, Hakan Köroglu:
Distributed LPV State-Feedback Control Under Control Input Saturation. IEEE Trans. Autom. Control. 62(5): 2450-2456 (2017) - [j1]Azita Dabiri, Balázs Kulcsár:
Distributed Ramp Metering - A Constrained Discharge Flow Maximization Approach. IEEE Trans. Intell. Transp. Syst. 18(9): 2525-2538 (2017)
Conference and Workshop Papers
- 2023
- [c10]Alexander Daman, Xiaoyu Liu, Azita Dabiri, Bart De Schutter:
Benders Decomposition-Based Optimization of Train Departure Frequencies in Metro Networks. ITSC 2023: 5371-5376 - 2022
- [c9]Xiaoyu Liu, Azita Dabiri, Bart De Schutter:
Timetable Scheduling for Passenger-Centric Urban Rail Networks: Model Predictive Control based on a Novel Absorption Model. CCTA 2022: 1147-1152 - [c8]Pablo Borja, Azita Dabiri, Cosimo Della Santina:
Energy-based shape regulation of soft robots with unactuated dynamics dominated by elasticity. RoboSoft 2022: 396-402 - 2019
- [c7]Giulia Reggiani, Azita Dabiri, Winnie Daamen, Serge P. Hoogendoorn:
Clustering-based methodology for estimating bicycle accumulation levels on signalized links: a case study from the Netherlands. ITSC 2019: 1788-1793 - [c6]Azita Dabiri, Andreas Hegyi, Serge P. Hoogendoorn:
Automatic learning of cyclist's compliance for speed advice at intersections - a reinforcement learning-based approach. ITSC 2019: 2375-2380 - 2018
- [c5]Azita Dabiri, Andreas Hegyi:
Personalised optimal speed advice to cyclists approaching an intersection with uncertain green time. ECC 2018: 1666-1671 - 2016
- [c4]Azita Dabiri, Balázs Kulcsár:
Distributed dynamic output feedback control for discrete-time linear parameter varying systems. CDC 2016: 6080-6085 - 2015
- [c3]Azita Dabiri, Balázs Kulcsár, Hakan Köroglu:
Distributed LPV state-feedback control with application to motorway ramp metering. ECC 2015: 1480-1485 - [c2]Balázs Kulcsár, Konstantinos Ampountolas, Azita Dabiri:
Single-region robust perimeter traffic flow control. ECC 2015: 2628-2633 - 2013
- [c1]Azita Dabiri, Balázs Kulcsár:
Incident parameter estimation. ECC 2013: 3518-3523
Informal and Other Publications
- 2024
- [i8]Samuel Mallick, Azita Dabiri, Bart De Schutter:
A Comparison Benchmark for Distributed Hybrid MPC Control Methods: Distributed Vehicle Platooning. CoRR abs/2401.09878 (2024) - [i7]Samuel Mallick, Azita Dabiri, Bart De Schutter:
Distributed MPC for PWA Systems Based on Switching ADMM. CoRR abs/2404.16712 (2024) - [i6]Caio Fabio Oliveira da Silva, Azita Dabiri, Bart De Schutter:
Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids. CoRR abs/2409.11267 (2024) - [i5]Samuel Mallick, Filippo Airaldi, Azita Dabiri, Congcong Sun, Bart De Schutter:
Reinforcement Learning-based Model Predictive Control for Greenhouse Climate Control. CoRR abs/2409.12789 (2024) - 2023
- [i4]Leila Gharavi, Azita Dabiri, Jelske Verkuijlen, Bart De Schutter, Simone Baldi:
Proactive Emergency Collision Avoidance for Automated Driving in Highway Scenarios. CoRR abs/2310.17381 (2023) - [i3]Filippo Airaldi, Bart De Schutter, Azita Dabiri:
Reinforcement Learning with Model Predictive Control for Highway Ramp Metering. CoRR abs/2311.08820 (2023) - [i2]Samuel Mallick, Filippo Airaldi, Azita Dabiri, Bart De Schutter:
Multi-Agent Reinforcement Learning via Distributed MPC as a Function Approximator. CoRR abs/2312.05166 (2023) - 2022
- [i1]Filippo Airaldi, Bart De Schutter, Azita Dabiri:
Learning safety in model-based Reinforcement Learning using MPC and Gaussian Processes. CoRR abs/2211.01860 (2022)
Coauthor Index
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