Collaborative engineering of integrated chassis control for ground vehicle: Case study of lifelong learning technologies in automotive mechatronics. - Valentin G. Ivanov; Klaus Augsburg; Dzmitry Savitski; Viktor Schreiber; Pieter Schalk Els; Miguel Dhaens (ICM, 2017)

Fully Integrated Tunable Wideband True Time Delay for Wireless Sensor Networks. - Carlos A. M. Costa Júnior; Chu Wang; Kuangyuan Ying; Zhe Chen 021; Miguel Dhaens; Hao Gao 001; Peter G. M. Baltus (ISCAS, 2019)

Comparative Analysis of Single-Input Multi-Output Inverter Topologies for Multi-motor Drive Systems. - Mustapha Al Sakka; Thomas Geury; Miguel Dhaens; Monzer Al Sakka; Sajib Chakraborty; Mohamed El Baghdadi; Omar Hegazy (EVER, 2020)

An Explicit Nonlinear Model Predictive ABS Controller for Electro-Hydraulic Braking Systems. - Davide Tavernini; Fabio Vacca; Mathias Metzler; Dzmitry Savitski; Valentin G. Ivanov; Patrick Gruber; Ahu Ece Hartavi; Miguel Dhaens; Aldo Sorniotti (IEEE Trans. Ind. Electron., 2020)

Regionless Explicit Model Predictive Control of Active Suspension Systems With Preview. - Johan Theunissen; Aldo Sorniotti; Patrick Gruber; Saber Fallah; Marco Ricco; Michal Kvasnica; Miguel Dhaens (IEEE Trans. Ind. Electron., 2020)

On the Design of Yaw Rate Control via Variable Front-to-Total Anti-Roll Moment Distribution. - Marco Ricco; Mattia Zanchetta; Giovanni Cardolini Rizzo; Davide Tavernini; Aldo Sorniotti; Christoforos Chatzikomis; Mauro Velardocchia; Marc Geraerts; Miguel Dhaens (IEEE Trans. Veh. Technol., 2020)

Programmable Systems for Intelligence in Automobiles (PRYSTINE): Final results after Year 3. - Norbert Druml; Anna Ryabokon; Rupert Schorn; Jochen Koszescha; Kaspars Ozols; Aleksandrs Levinskis; Rihards Novickis; Ethiopia Nigussie; Jouni Isoaho; Selim Solmaz; Georg Stettinger; Sergio E. Diaz; et al. (DSD, 2021)

Preview-based techniques for vehicle suspension control: a state-of-the-art review. - Johan Theunissen; Antonio Tota; Patrick Gruber; Miguel Dhaens; Aldo Sorniotti (Annu. Rev. Control., 2021)

Feasibility of a Neural Network-Based Virtual Sensor for Vehicle Unsprung Mass Relative Velocity Estimation. - Eldar Sabanovic; Paulius Kojis; Sarunas Sukevicius; Barys N. Shyrokau; Valentin G. Ivanov; Miguel Dhaens; Viktor Skrickij (Sensors, 2021)

Curve Tilting With Nonlinear Model Predictive Control for Enhancing Motion Comfort. - Yanggu Zheng; Barys N. Shyrokau; Tamás Keviczky; Monzer Al Sakka; Miguel Dhaens (IEEE Trans. Control. Syst. Technol., 2022)

On Pre-Emptive In-Wheel Motor Control for Reducing the Longitudinal Acceleration Oscillations Caused by Road Irregularities. - Víctor Vidal; Pietro Stano; Gaetano Tavolo; Miguel Dhaens; Davide Tavernini; Patrick Gruber; Aldo Sorniotti (IEEE Trans. Veh. Technol., 2022)

On Nonlinear Model Predictive Vehicle Dynamics Control for Multi-Actuated Car-Semitrailer Configurations. - Gabriele Rini; Victor Mazzilli; Francesco Bottiglione; Patrick Gruber; Miguel Dhaens; Aldo Sorniotti (IEEE Access, 2024)

Development and Evaluation of Artificial Neural Networks for Real-World Data-Driven Virtual Sensors in Vehicle Suspension. - Eldar Sabanovic; Paulius Kojis; Valentin G. Ivanov; Miguel Dhaens; Viktor Skrickij (IEEE Access, 2024)

In-vehicle snesors, IMU, and Unsprung Mass vertical velocities measurements dataset from semi-active vehicle. - Eldar Sabanovic; Paulius Kojis; Valentin G. Ivanov; Miguel Dhaens; Viktor Skrickij (IEEE DataPort, 2024)

On the Energy Efficiency Potential of Multi-Actuated Electric Vehicles. - Matteo Dalboni; Gil Martins; Davide Tavernini; Umberto Montanaro; Alessandro Soldati; Carlo Concari; Miguel Dhaens; Aldo Sorniotti (IEEE Trans. Veh. Technol., 2024)