András Mihály is a Research Associate in the Vehicle Dynamics and Control Research Group. He joined the Institute for Computer Science and Control in 2015. His main fields of research are: integrated vehicle control, in-wheel vehicle control, driver modeling, adaptive speed control, active and semi-active suspension control, vehicle platoon control.
- Research Fellow, SZTAKI, Systems and Control Laboratory, 2023-
- Research Associate, MTA SZTAKI, Systems and Control Laboratory, 2015-2022
- Research Associate, MTA-BME, Control Engineering Research Group 2015-2017
- Research Associate, BME, Faculty of Transportation Engineering, Department of Control for Transportation and Vehicle Systems, 2013-2014
- PhD Student BME Faculty of Transportation Engineering, Department of Control for Transportation and Vehicle Systems 2013-2014
- PhD in transportation sciences, Budapest University of Technology and Economics, 2022.
MSc in Transportation Engineering, Budapest University of Technology and Economics, Budapest, Hungary, 2008
- Integrated vehicle control
- Reconfigurable, energy-optimal, fault-tolerant in-wheel vehicle control
- Driver identification and modeling
- Adaptive cruise control systems
- Active and semi-active suspension control,
- Vehicle platoon control
- Reinforcement learning based control
- Control theory
- Vehicle control I-II.
- Design of descrete control
- Matlab and C programming
The aim of the SEPPAC project (Partially Automated Vehicle Platform with Safety and Economy Functions) is to design and implement an adaptive speed control system and prototype operating in an economical and safe manner while fulfilling requirements of the driver, the operator and the vehicle manufacturer.
★ Real-time Look-ahead Cruise Control SimulatorPublication date2018
★ Tuning of Look-ahead Cruise Control in HIL Vehicle SimulatorPublication date2017
★ Robust Fault-Tolerant Control of In-Wheel Driven Bus with Cornering Energy MinimizationPublication date2017
Model Predictive Control Method for Autonomous Vehicles in RoundaboutsPublication date2023
Intelligent Road-Adaptive Semi-Active Suspension and Integrated Cruise Control †Publication date2023
LPV-Fuzzy control approach for road adaptive semi-active suspension systemPublication date2022
MPC Control Strategy for Autonomous Vehicles Driving in RoundaboutsPublication date2022