Azita Dabiri - RankMe

47 papers Journal 35Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Integrated Online Monitoring and Adaption of Process Model Predictive Controllers. CoRR Samuel Mallick, Laura Boca de Giuli, Alessio La Bella, Azita Dabiri, Bart De Schutter, Riccardo Scattolini
2026	J	`jnl`	Reinforcement Learning with Distributed MPC for Fuel-Efficient Platoon Control with Discrete Gear Transitions. CoRR Samuel Mallick, Gianpietro Battocletti, Dimitris Boskos, Azita Dabiri, Bart De Schutter
2025	J	`jnl`	A state reduction approach for learning-based model predictive control for train rescheduling. CoRR Caio Fabio Oliveira da Silva, Xiaoyu Liu, Azita Dabiri, Bart De Schutter
2025	J	`jnl`	Adaptive Tuning of Parameterized Traffic Controllers via Multi-Agent Reinforcement Learning. CoRR Giray Önür, Azita Dabiri, Bart De Schutter
2025	J	`jnl`	Distributed Model Predictive Control for Piecewise Affine Systems Based on Switching ADMM. IEEE Trans. Autom. Control. Samuel Mallick, Azita Dabiri, Bart De Schutter
2025	J	`jnl`	Distributed model predictive control without terminal cost under inexact distributed optimization. CoRR Xiaoyu Liu, Dimos V. Dimarogonas, Changxin Liu, Azita Dabiri, Bart De Schutter
2025	J	`jnl`	Learning-Based MPC for Efficient Control of Autonomous Vehicles. CoRR Samuel Mallick, Gianpietro Battocletti, Qizhang Dong, Azita Dabiri, Bart De Schutter
2025	J	`jnl`	Learning-Based MPC for Fuel Efficient Control of Autonomous Vehicles With Discrete Gear Selection. IEEE Control. Syst. Lett. Samuel Mallick, Gianpietro Battocletti, Qizhang Dong, Azita Dabiri, Bart De Schutter
2025	—	`conf`	Learning-Based Model Predictive Control for Piecewise Affine Systems with Feasibility Guarantees. ECC Samuel Mallick, Azita Dabiri, Bart De Schutter
2025	J	`jnl`	Learning-based Model Predictive Control for Passenger-Oriented Train Rescheduling with Flexible Train Composition. CoRR Xiaoyu Liu, Caio Fabio Oliveira da Silva, Azita Dabiri, Yihui Wang, Bart De Schutter
2025	J	`jnl`	Model Predictive Control and Moving Horizon Estimation using Statistically Weighted Data-Based Ensemble Models. CoRR Laura Boca de Giuli, Samuel Mallick, Alessio La Bella, Azita Dabiri, Bart De Schutter, Riccardo Scattolini
2025	J	`jnl`	Optimization-based Coordination of Traffic Lights and Automated Vehicles at Intersections. CoRR Azita Dabiri, Giray Önür, Sebastien Gros, Bart De Schutter
2025	J	`jnl`	Proactive Emergency Collision Avoidance for Automated Driving in Highway Scenarios. IEEE Trans. Control. Syst. Technol. Leila Gharavi, Azita Dabiri, Jelske Verkuijlen, Bart De Schutter, Simone Baldi
2025	J	`jnl`	Probabilistically safe and efficient model-based Reinforcement Learning. CoRR Filippo Airaldi, Bart De Schutter, Azita Dabiri
2025	—	`conf`	Probabilistically safe and efficient model-based reinforcement learning. CDC Filippo Airaldi, Bart De Schutter, Azita Dabiri
2025	J	`jnl`	Reinforcement Learning With Model Predictive Control for Highway Ramp Metering. IEEE Trans. Intell. Transp. Syst. Filippo Airaldi, Bart De Schutter, Azita Dabiri
2025	J	`jnl`	Safe model-based Reinforcement Learning via Model Predictive Control and Control Barrier Functions. CoRR Kerim Dzhumageldyev, Filippo Airaldi, Azita Dabiri
2025	J	`jnl`	Second-Order MPC-Based Distributed Q-Learning. CoRR Samuel Mallick, Filippo Airaldi, Azita Dabiri, Bart De Schutter
2024	J	`jnl`	A Comparison Benchmark for Distributed Hybrid MPC Control Methods: Distributed Vehicle Platooning. CoRR Samuel Mallick, Azita Dabiri, Bart De Schutter
2024	J	`jnl`	Distributed MPC for PWA Systems Based on Switching ADMM. CoRR Samuel Mallick, Azita Dabiri, Bart De Schutter
2024	J	`jnl`	Distributed Model Predictive Control for Virtually Coupled Heterogeneous Trains: Comparison and Assessment. IEEE Trans. Intell. Transp. Syst. Xiaoyu Liu, Azita Dabiri, Yihui Wang, Jing Xun, Bart De Schutter
2024	J	`jnl`	Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids. CoRR Caio Fabio Oliveira da Silva, Azita Dabiri, Bart De Schutter
2024	J	`jnl`	Learning-Based Model Predictive Control for Piecewise Affine Systems with Feasibility Guarantees. CoRR Samuel Mallick, Azita Dabiri, Bart De Schutter
2024	J	`jnl`	Multi-agent reinforcement learning via distributed MPC as a function approximator. Autom. Samuel Mallick, Filippo Airaldi, Azita Dabiri, Bart De Schutter
2024	J	`jnl`	Nonmyopic Global Optimisation via Approximate Dynamic Programming. CoRR Filippo Airaldi, Bart De Schutter, Azita Dabiri
2024	J	`jnl`	Real-Time Train Scheduling With Uncertain Passenger Flows: A Scenario-Based Distributed Model Predictive Control Approach. IEEE Trans. Intell. Transp. Syst. Xiaoyu Liu, Azita Dabiri, Yihui Wang, Bart De Schutter
2024	J	`jnl`	Reinforcement Learning-based Model Predictive Control for Greenhouse Climate Control. CoRR Samuel Mallick, Filippo Airaldi, Azita Dabiri, Congcong Sun, Bart De Schutter
2023	—	`conf`	Benders Decomposition-Based Optimization of Train Departure Frequencies in Metro Networks. ITSC Alexander Daman, Xiaoyu Liu, Azita Dabiri, Bart De Schutter
2023	J	`jnl`	Modeling and Efficient Passenger-Oriented Control for Urban Rail Transit Networks. IEEE Trans. Intell. Transp. Syst. Xiaoyu Liu, Azita Dabiri, Yihui Wang, Bart De Schutter
2023	J	`jnl`	Multi-Agent Reinforcement Learning via Distributed MPC as a Function Approximator. CoRR Samuel Mallick, Filippo Airaldi, Azita Dabiri, Bart De Schutter
2023	J	`jnl`	Proactive Emergency Collision Avoidance for Automated Driving in Highway Scenarios. CoRR Leila Gharavi, Azita Dabiri, Jelske Verkuijlen, Bart De Schutter, Simone Baldi
2023	J	`jnl`	Reinforcement Learning with Model Predictive Control for Highway Ramp Metering. CoRR Filippo Airaldi, Bart De Schutter, Azita Dabiri
2022	J	`jnl`	Deep Learning for Object Detection and Segmentation in Videos: Toward an Integration With Domain Knowledge. IEEE Access Athina Ilioudi, Azita Dabiri, Ben J. Wolf, Bart De Schutter
2022	—	`conf`	Energy-based shape regulation of soft robots with unactuated dynamics dominated by elasticity. RoboSoft Pablo Borja, Azita Dabiri, Cosimo Della Santina
2022	J	`jnl`	Learning safety in model-based Reinforcement Learning using MPC and Gaussian Processes. CoRR Filippo Airaldi, Bart De Schutter, Azita Dabiri
2022	J	`jnl`	On the Role of Coupled Damping and Gyroscopic Forces in the Stability and Performance of Mechanical Systems. IEEE Control. Syst. Lett. Pablo Borja, Cosimo Della Santina, Azita Dabiri
2022	J	`jnl`	Optimized Speed Trajectories for Cyclists, Based on Personal Preferences and Traffic Light Information-A Stochastic Dynamic Programming Approach. IEEE Trans. Intell. Transp. Syst. Azita Dabiri, Andreas Hegyi, Serge P. Hoogendoorn
2022	—	`conf`	Timetable Scheduling for Passenger-Centric Urban Rail Networks: Model Predictive Control based on a Novel Absorption Model. CCTA Xiaoyu Liu, Azita Dabiri, Bart De Schutter
2019	—	`conf`	Automatic learning of cyclist's compliance for speed advice at intersections - a reinforcement learning-based approach. ITSC Azita Dabiri, Andreas Hegyi, Serge P. Hoogendoorn
2019	—	`conf`	Clustering-based methodology for estimating bicycle accumulation levels on signalized links: a case study from the Netherlands. ITSC Giulia Reggiani, Azita Dabiri, Winnie Daamen, Serge P. Hoogendoorn
2018	—	`conf`	Personalised optimal speed advice to cyclists approaching an intersection with uncertain green time. ECC Azita Dabiri, Andreas Hegyi
2017	J	`jnl`	Distributed LPV State-Feedback Control Under Control Input Saturation. IEEE Trans. Autom. Control. Azita Dabiri, Balázs Kulcsár, Hakan Köroglu
2017	J	`jnl`	Distributed Ramp Metering - A Constrained Discharge Flow Maximization Approach. IEEE Trans. Intell. Transp. Syst. Azita Dabiri, Balázs Kulcsár
2016	—	`conf`	Distributed dynamic output feedback control for discrete-time linear parameter varying systems. CDC Azita Dabiri, Balázs Kulcsár
2015	—	`conf`	Distributed LPV state-feedback control with application to motorway ramp metering. ECC Azita Dabiri, Balázs Kulcsár, Hakan Köroglu
2015	—	`conf`	Single-region robust perimeter traffic flow control. ECC Balázs Kulcsár, Konstantinos Ampountolas, Azita Dabiri
2013	—	`conf`	Incident parameter estimation. ECC Azita Dabiri, Balázs Kulcsár