Azita Dabiri

According to our database, Azita Dabiri authored at least 25 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Real-Time Train Scheduling With Uncertain Passenger Flows: A Scenario-Based Distributed Model Predictive Control Approach.

Xiaoyu Liu, Azita Dabiri, Yihui Wang, Bart De Schutter

IEEE Trans. Intell. Transp. Syst., May, 2024

Reinforcement Learning-based Model Predictive Control for Greenhouse Climate Control.

Samuel Mallick, Filippo Airaldi, Azita Dabiri, Congcong Sun, 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

Distributed MPC for PWA Systems Based on Switching ADMM.

Samuel Mallick, Azita Dabiri, Bart De Schutter

CoRR, 2024

A Comparison Benchmark for Distributed Hybrid MPC Control Methods: Distributed Vehicle Platooning.

Samuel Mallick, Azita Dabiri, Bart De Schutter

CoRR, 2024

Multi-agent reinforcement learning via distributed MPC as a function approximator.

Samuel Mallick, Filippo Airaldi, Azita Dabiri, Bart De Schutter

Autom., 2024

2023

Modeling and Efficient Passenger-Oriented Control for Urban Rail Transit Networks.

Xiaoyu Liu, Azita Dabiri, Yihui Wang, Bart De Schutter

IEEE Trans. Intell. Transp. Syst., March, 2023

Reinforcement Learning with Model Predictive Control for Highway Ramp Metering.

Filippo Airaldi, Bart De Schutter, Azita Dabiri

CoRR, 2023

Proactive Emergency Collision Avoidance for Automated Driving in Highway Scenarios.

Leila Gharavi, Azita Dabiri, Jelske Verkuijlen, Bart De Schutter, Simone Baldi

CoRR, 2023

Benders Decomposition-Based Optimization of Train Departure Frequencies in Metro Networks.

Alexander Daman, Xiaoyu Liu, Azita Dabiri, Bart De Schutter

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

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

On the Role of Coupled Damping and Gyroscopic Forces in the Stability and Performance of Mechanical Systems.

Pablo Borja, Cosimo Della Santina, Azita Dabiri

IEEE Control. Syst. Lett., 2022

Learning safety in model-based Reinforcement Learning using MPC and Gaussian Processes.

Filippo Airaldi, Bart De Schutter, Azita Dabiri

CoRR, 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

Energy-based shape regulation of soft robots with unactuated dynamics dominated by elasticity.

Pablo Borja, Azita Dabiri, Cosimo Della Santina

Proceedings of the 5th IEEE International Conference on Soft Robotics, 2022

Timetable Scheduling for Passenger-Centric Urban Rail Networks: Model Predictive Control based on a Novel Absorption Model.

Xiaoyu Liu, Azita Dabiri, Bart De Schutter

Proceedings of the IEEE Conference on Control Technology and Applications, 2022

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

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Automatic learning of cyclist's compliance for speed advice at intersections - a reinforcement learning-based approach.

Azita Dabiri, Andreas Hegyi, Serge P. Hoogendoorn

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018

Personalised optimal speed advice to cyclists approaching an intersection with uncertain green time.

Azita Dabiri, Andreas Hegyi

Proceedings of the 16th European Control Conference, 2018

2017

Distributed Ramp Metering - A Constrained Discharge Flow Maximization Approach.

Azita Dabiri, Balázs Kulcsár

IEEE Trans. Intell. Transp. Syst., 2017

Distributed LPV State-Feedback Control Under Control Input Saturation.

Azita Dabiri, Balázs Kulcsár, Hakan Köroglu

IEEE Trans. Autom. Control., 2017

2016

Distributed dynamic output feedback control for discrete-time linear parameter varying systems.

Azita Dabiri, Balázs Kulcsár

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Single-region robust perimeter traffic flow control.

Balázs Kulcsár, Konstantinos Ampountolas, Azita Dabiri

Proceedings of the 14th European Control Conference, 2015

Distributed LPV state-feedback control with application to motorway ramp metering.

Azita Dabiri, Balázs Kulcsár, Hakan Köroglu

Proceedings of the 14th European Control Conference, 2015

2013

Incident parameter estimation.

Azita Dabiri, Balázs Kulcsár

Proceedings of the 12th European Control Conference, 2013