Miguel Dhaens
Orcid: 0000-0003-3644-3340
According to our database1,
Miguel Dhaens
authored at least 15 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Veh. Technol., August, 2024
In-vehicle snesors, IMU, and Unsprung Mass vertical velocities measurements dataset from semi-active vehicle.
Dataset, June, 2024
Development and Evaluation of Artificial Neural Networks for Real-World Data-Driven Virtual Sensors in Vehicle Suspension.
IEEE Access, 2024
On Nonlinear Model Predictive Vehicle Dynamics Control for Multi-Actuated Car-Semitrailer Configurations.
IEEE Access, 2024
2022
On Pre-Emptive In-Wheel Motor Control for Reducing the Longitudinal Acceleration Oscillations Caused by Road Irregularities.
IEEE Trans. Veh. Technol., 2022
IEEE Trans. Control. Syst. Technol., 2022
2021
Feasibility of a Neural Network-Based Virtual Sensor for Vehicle Unsprung Mass Relative Velocity Estimation.
Sensors, 2021
Annu. Rev. Control., 2021
Programmable Systems for Intelligence in Automobiles (PRYSTINE): Final results after Year 3.
Proceedings of the 24th Euromicro Conference on Digital System Design, 2021
2020
On the Design of Yaw Rate Control via Variable Front-to-Total Anti-Roll Moment Distribution.
IEEE Trans. Veh. Technol., 2020
Regionless Explicit Model Predictive Control of Active Suspension Systems With Preview.
IEEE Trans. Ind. Electron., 2020
An Explicit Nonlinear Model Predictive ABS Controller for Electro-Hydraulic Braking Systems.
IEEE Trans. Ind. Electron., 2020
Comparative Analysis of Single-Input Multi-Output Inverter Topologies for Multi-motor Drive Systems.
Proceedings of the Fifteenth International Conference on Ecological Vehicles and Renewable Energies, 2020
2019
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019
2017
Collaborative engineering of integrated chassis control for ground vehicle: Case study of lifelong learning technologies in automotive mechatronics.
Proceedings of the IEEE International Conference on Mechatronics, 2017