Azita Dabiri

IEEE Trans. Autom. Control., June, 2025

Reinforcement Learning With Model Predictive Control for Highway Ramp Metering.

[BibT_eX]

[DOI]

Caio Fabio Oliveira da Silva

IEEE Trans. Intell. Transp. Syst., May, 2025

A state reduction approach for learning-based model predictive control for train rescheduling.

[BibT_eX]

[DOI]

Xiaoyu Liu

CoRR, April, 2025

Distributed model predictive control without terminal cost under inexact distributed optimization.

[BibT_eX]

[DOI]

CoRR, April, 2025

Probabilistically safe and efficient model-based Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, April, 2025

Learning-Based MPC for Efficient Control of Autonomous Vehicles.

[BibT_eX]

[DOI]

Gianpietro Battocletti

Qizhang Dong

Caio Fabio Oliveira da Silva

CoRR, March, 2025

Learning-based Model Predictive Control for Passenger-Oriented Train Rescheduling with Flexible Train Composition.

[BibT_eX]

[DOI]

Xiaoyu Liu

Yihui Wang

CoRR, February, 2025

Optimization-based Coordination of Traffic Lights and Automated Vehicles at Intersections.

[BibT_eX]

[DOI]

CoRR, February, 2025

Learning-Based MPC for Fuel Efficient Control of Autonomous Vehicles With Discrete Gear Selection.

[BibT_eX]

[DOI]

Gianpietro Battocletti

Qizhang Dong

IEEE Control. Syst. Lett., 2025

2024

Distributed Model Predictive Control for Virtually Coupled Heterogeneous Trains: Comparison and Assessment.

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

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

Nonmyopic Global Optimisation via Approximate Dynamic Programming.

[BibT_eX]

[DOI]

CoRR, 2024

Learning-Based Model Predictive Control for Piecewise Affine Systems with Feasibility Guarantees.

[BibT_eX]

[DOI]

Caio Fabio Oliveira da Silva

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

Integrating Reinforcement Learning and Model Predictive Control with Applications to Microgrids.

[BibT_eX]

[DOI]

CoRR, 2024

Distributed MPC for PWA Systems Based on Switching ADMM.

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

CoRR, 2024

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

[BibT_eX]

[DOI]

Autom., 2024

2023

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

[BibT_eX]

[DOI]

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

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

[BibT_eX]

[DOI]

Proceedings of the 26th 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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Pablo Borja

Cosimo Della Santina

IEEE Control. Syst. Lett., 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Deep Learning for Object Detection and Segmentation in Videos: Toward an Integration With Domain Knowledge.

[BibT_eX]

[DOI]

IEEE Access, 2022

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

[BibT_eX]

[DOI]

Pablo Borja

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.

[BibT_eX]

[DOI]

Xiaoyu Liu

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Andreas Hegyi

Proceedings of the 16th European Control Conference, 2018

2017

Distributed Ramp Metering - A Constrained Discharge Flow Maximization Approach.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2017

Distributed LPV State-Feedback Control Under Control Input Saturation.

[BibT_eX]

[DOI]

Hakan Köroglu

IEEE Trans. Autom. Control., 2017

2016

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

[BibT_eX]

[DOI]

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

2015

Single-region robust perimeter traffic flow control.

[BibT_eX]

[DOI]

Konstantinos Ampountolas

Proceedings of the 14th European Control Conference, 2015

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

[BibT_eX]

[DOI]

Hakan Köroglu

Proceedings of the 14th European Control Conference, 2015

2013

Incident parameter estimation.

[BibT_eX]

[DOI]