An interpolation method of multiple terminal iterative learning control. - Tong Duy Son; Dinh Hoa Nguyen; Hyo-Sung Ahn (ISIC, 2011)

Terminal iterative learning control with multiple intermediate pass points. - Tong Duy Son; Hyo-Sung Ann (ACC, 2011)

Iterative learning control for optimal multiple-point tracking. - Tong Duy Son; Dinh Hoa Nguyen; Hyo-Sung Ahn (CDC/ECC, 2011)

Optimal iterative learning control with uncertain reference points. - Tong Duy Son; Hyo-Sung Ahn (ISIC, 2012)

Robust optimal iterative learning control with model uncertainty. - Tong Duy Son; Goele Pipeleers; Jan Swevers (CDC, 2013)

Optimal iterative learning control design with trial-varying initial conditions. - Tong Duy Son; Goele Pipeleers; Jan Swevers (ECC, 2013)

Iterative learning control in optimal tracking problems with specified data points. - Tong Duy Son; Hyo-Sung Ahn; Kevin L. Moore 001 (Autom., 2013)

Robust analysis and synthesis with unstructured model uncertainty in lifted system iterative learning control. - Tong Duy Son; Goele Pipeleers; Jan Swevers (ACC, 2015)

Robust performance iterative learning control : Analysis, synthesis and experimental validation. - Tong Duy Son; Armin Steinhauser; Goele Pipeleers; Jan Swevers (ECC, 2016)

Robust Monotonic Convergent Iterative Learning Control. - Tong Duy Son; Goele Pipeleers; Jan Swevers (IEEE Trans. Autom. Control., 2016)

Interative Learning Control for Multi-Variable Systems. - Tong Duy Son (2016)

A generalized frequency domain learning control design with experimental validation. - Tong Duy Son; Goele Pipeleers; Jan Swevers; Herman Van der Auweraer (IECON, 2017)

Multi-objective iterative learning control using convex optimization. - Tong Duy Son; Goele Pipeleers; Jan Swevers (Eur. J. Control, 2017)

RoFaLT: An optimization-based learning control tool for nonlinear systems. - Armin Steinhauser; Tong Duy Son; Erik Hostens; Jan Swevers (AMC, 2018)

Safety-Critical Control for Non-affine Nonlinear Systems with Application on Autonomous Vehicle. - Tong Duy Son; Quan Nguyen (CDC, 2019)

Simulation-Based Testing Framework for Autonomous Driving Development. - Tong Duy Son; Ajinkya Bhave; Herman Van der Auweraer (ICM, 2019)

Safe and Computational Efficient Imitation Learning for Autonomous Vehicle Driving. - Flavia Sofia Acerbo; Herman Van der Auweraer; Tong Duy Son (ACC, 2020)

Learning Control for Autonomous Driving on Slippery Snowy Road Conditions. - Roushan Rezvani Arany; Herman Van der Auweraer; Tong Duy Son (CCTA, 2020)

Safe Imitation Learning on Real-Life Highway Data for Human-like Autonomous Driving. - Flavia Sofia Acerbo; Mohsen Alirezaei; Herman Van der Auweraer; Tong Duy Son (ITSC, 2021)

Model in the Loop Testing and Validation of Embedded Autonomous Driving Algorithms. - Dennis Bruggner; Anoosh Hegde; Flavia Sofia Acerbo; Dhiraj Gulati; Tong Duy Son (IV, 2021)

Real-time Nonlinear MPC Strategy with Full Vehicle Validation for Autonomous Driving. - Jean Pierre Allamaa; Petr Listov; Herman Van der Auweraer; Colin N. Jones; Tong Duy Son (ACC, 2022)

MPC-based Imitation Learning for Safe and Human-like Autonomous Driving. - Flavia Sofia Acerbo; Jan Swevers; Tinne Tuytelaars; Tong Duy Son (CoRR, 2022)

Sim2real for Autonomous Vehicle Control using Executable Digital Twin. - Jean Pierre Allamaa; Panagiotis Patrinos; Herman Van der Auweraer; Tong Duy Son (CoRR, 2022)

Virtual Reality Assisted Human Perception in ADAS Development: a Munich 3D Model Study. - Felix Bognar; Markus Oster; Herman Van der Auweraer; Tong Duy Son (CoRR, 2022)

Learning from Demonstrations of Critical Driving Behaviours Using Driver's Risk Field. - Yurui Du; Flavia Sofia Acerbo; Jens Kober; Tong Duy Son (CoRR, 2022)

Evaluation of MPC-based Imitation Learning for Human-like Autonomous Driving. - Flavia Sofia Acerbo; Jan Swevers; Tinne Tuytelaars; Tong Duy Son (CoRR, 2022)

Reinforcement Learning from Simulation to Real World Autonomous Driving using Digital Twin. - Kevin Voogd; Jean Pierre Allamaa; Javier Alonso-Mora; Tong Duy Son (CoRR, 2022)

Safety Envelope for Orthogonal Collocation Methods in Embedded Optimal Control. - Jean Pierre Allamaa; Panagiotis Patrinos; Herman Van der Auweraer; Tong Duy Son (ECC, 2023)

Driving from Vision through Differentiable Optimal Control. - Flavia Sofia Acerbo; Jan Swevers; Tinne Tuytelaars; Tong Duy Son (IROS, 2024)

AV-Occupant Perceived Risk Model for Cut-In Scenarios with Empirical Evaluation. - Sarah Barendswaard; Tong Duy Son (IV, 2024)

Real-time MPC with Control Barrier Functions for Autonomous Driving using Safety Enhanced Collocation. - Jean Pierre Allamaa; Panagiotis Patrinos; Toshiyuki Ohtsuka; Tong Duy Son (CoRR, 2024)

Learning from Visual Demonstrations through Differentiable Nonlinear MPC for Personalized Autonomous Driving. - Flavia Sofia Acerbo; Jan Swevers; Tinne Tuytelaars; Tong Duy Son (CoRR, 2024)

Imitation Learning from Observations: An Autoregressive Mixture of Experts Approach. - Renzi Wang; Flavia Sofia Acerbo; Tong Duy Son; Panagiotis Patrinos (CoRR, 2024)

ExAMPC: the Data-Driven Explainable and Approximate NMPC with Physical Insights. - Jean Pierre Allamaa; Panagiotis Patrinos; Tong Duy Son (CoRR, 2025)

Learning-Based NMPC Adaptation for Autonomous Driving Using Parallelized Digital Twin. - Jean Pierre Allamaa; Panagiotis Patrinos; Herman Van der Auweraer; Tong Duy Son (IEEE Trans. Control. Syst. Technol., 2025)