Incident parameter estimation. - Azita Dabiri; Balázs Kulcsár (ECC, 2013)

Distributed LPV state-feedback control with application to motorway ramp metering. - Azita Dabiri; Balázs Kulcsár; Hakan Köroglu (ECC, 2015)

Single-region robust perimeter traffic flow control. - Balázs Kulcsár; Konstantinos Ampountolas; Azita Dabiri (ECC, 2015)

Distributed dynamic output feedback control for discrete-time linear parameter varying systems. - Azita Dabiri; Balázs Kulcsár (CDC, 2016)

Distributed LPV State-Feedback Control Under Control Input Saturation. - Azita Dabiri; Balázs Kulcsár; Hakan Köroglu (IEEE Trans. Autom. Control., 2017)

Distributed Ramp Metering - A Constrained Discharge Flow Maximization Approach. - Azita Dabiri; Balázs Kulcsár (IEEE Trans. Intell. Transp. Syst., 2017)

Personalised optimal speed advice to cyclists approaching an intersection with uncertain green time. - Azita Dabiri; Andreas Hegyi (ECC, 2018)

Automatic learning of cyclist's compliance for speed advice at intersections - a reinforcement learning-based approach. - Azita Dabiri; Andreas Hegyi; Serge P. Hoogendoorn (ITSC, 2019)

Clustering-based methodology for estimating bicycle accumulation levels on signalized links: a case study from the Netherlands. - Giulia Reggiani; Azita Dabiri; Winnie Daamen; Serge P. Hoogendoorn (ITSC, 2019)

Timetable Scheduling for Passenger-Centric Urban Rail Networks: Model Predictive Control based on a Novel Absorption Model. - Xiaoyu Liu; Azita Dabiri; Bart De Schutter (CCTA, 2022)

Energy-based shape regulation of soft robots with unactuated dynamics dominated by elasticity. - Pablo Borja 001; Azita Dabiri; Cosimo Della Santina (RoboSoft, 2022)

Deep Learning for Object Detection and Segmentation in Videos: Toward an Integration With Domain Knowledge. - Athina Ilioudi; Azita Dabiri; Ben J. Wolf; Bart De Schutter (IEEE Access, 2022)

Learning safety in model-based Reinforcement Learning using MPC and Gaussian Processes. - Filippo Airaldi; Bart De Schutter; Azita Dabiri (CoRR, 2022)

On the Role of Coupled Damping and Gyroscopic Forces in the Stability and Performance of Mechanical Systems. - Pablo Borja 001; Cosimo Della Santina; Azita Dabiri (IEEE Control. Syst. Lett., 2022)

Optimized Speed Trajectories for Cyclists, Based on Personal Preferences and Traffic Light Information-A Stochastic Dynamic Programming Approach. - Azita Dabiri; Andreas Hegyi; Serge P. Hoogendoorn (IEEE Trans. Intell. Transp. Syst., 2022)

Benders Decomposition-Based Optimization of Train Departure Frequencies in Metro Networks. - Alexander Daman; Xiaoyu Liu; Azita Dabiri; Bart De Schutter (ITSC, 2023)

Modeling and Efficient Passenger-Oriented Control for Urban Rail Transit Networks. - Xiaoyu Liu; Azita Dabiri; Yihui Wang 001; Bart De Schutter (IEEE Trans. Intell. Transp. Syst., 2023)

Multi-agent reinforcement learning via distributed MPC as a function approximator. - Samuel Mallick; Filippo Airaldi; Azita Dabiri; Bart De Schutter (Autom., 2024)

A Comparison Benchmark for Distributed Hybrid MPC Control Methods: Distributed Vehicle Platooning. - Samuel Mallick; Azita Dabiri; Bart De Schutter (CoRR, 2024)

Distributed MPC for PWA Systems Based on Switching ADMM. - Samuel Mallick; Azita Dabiri; Bart De Schutter (CoRR, 2024)

Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids. - Caio Fabio Oliveira da Silva; Azita Dabiri; Bart De Schutter (CoRR, 2024)

Reinforcement Learning-based Model Predictive Control for Greenhouse Climate Control. - Samuel Mallick; Filippo Airaldi; Azita Dabiri; Congcong Sun; Bart De Schutter (CoRR, 2024)

Learning-Based Model Predictive Control for Piecewise Affine Systems with Feasibility Guarantees. - Samuel Mallick; Azita Dabiri; Bart De Schutter (CoRR, 2024)

Nonmyopic Global Optimisation via Approximate Dynamic Programming. - Filippo Airaldi; Bart De Schutter; Azita Dabiri (CoRR, 2024)

Real-Time Train Scheduling With Uncertain Passenger Flows: A Scenario-Based Distributed Model Predictive Control Approach. - Xiaoyu Liu; Azita Dabiri; Yihui Wang 001; Bart De Schutter (IEEE Trans. Intell. Transp. Syst., 2024)

Distributed Model Predictive Control for Virtually Coupled Heterogeneous Trains: Comparison and Assessment. - Xiaoyu Liu; Azita Dabiri; Yihui Wang 001; Jing Xun; Bart De Schutter (IEEE Trans. Intell. Transp. Syst., 2024)

Learning-Based MPC for Fuel Efficient Control of Autonomous Vehicles With Discrete Gear Selection. - Samuel Mallick; Gianpietro Battocletti; Qizhang Dong; Azita Dabiri; Bart De Schutter (IEEE Control. Syst. Lett., 2025)

Optimization-based Coordination of Traffic Lights and Automated Vehicles at Intersections. - Azita Dabiri; Giray Önür; Sebastien Gros; Bart De Schutter (CoRR, 2025)

Learning-based Model Predictive Control for Passenger-Oriented Train Rescheduling with Flexible Train Composition. - Xiaoyu Liu; Caio Fabio Oliveira da Silva; Azita Dabiri; Yihui Wang 001; Bart De Schutter (CoRR, 2025)

Learning-Based MPC for Efficient Control of Autonomous Vehicles. - Samuel Mallick; Gianpietro Battocletti; Qizhang Dong; Azita Dabiri; Bart De Schutter (CoRR, 2025)

Probabilistically safe and efficient model-based Reinforcement Learning. - Filippo Airaldi; Bart De Schutter; Azita Dabiri (CoRR, 2025)

Distributed model predictive control without terminal cost under inexact distributed optimization. - Xiaoyu Liu; Dimos V. Dimarogonas; Changxin Liu 001; Azita Dabiri; Bart De Schutter (CoRR, 2025)

A state reduction approach for learning-based model predictive control for train rescheduling. - Caio Fabio Oliveira da Silva; Xiaoyu Liu; Azita Dabiri; Bart De Schutter (CoRR, 2025)

Reinforcement Learning With Model Predictive Control for Highway Ramp Metering. - Filippo Airaldi; Bart De Schutter; Azita Dabiri (IEEE Trans. Intell. Transp. Syst., 2025)

Distributed Model Predictive Control for Piecewise Affine Systems Based on Switching ADMM. - Samuel Mallick; Azita Dabiri; Bart De Schutter (IEEE Trans. Autom. Control., 2025)

Proactive Emergency Collision Avoidance for Automated Driving in Highway Scenarios. - Leila Gharavi; Azita Dabiri; Jelske Verkuijlen; Bart De Schutter; Simone Baldi (IEEE Trans. Control. Syst. Technol., 2025)