Publikációk

22nd IFAC World Congress / 2023. július 9-14.

A data based system representation

22. IFAC World Congress 2023 / 2023. július 9-14.

Ultra-local model-based observer design for automated vehicles

22. IFAC World Congress 2023 / 2023. július 9-14.

Tabular Q-learning Based Reinforcement Learning Agent for Autonomous Vehicle Drift Initiation and Stabilization

Viharos, Zs. J.

22. IFAC World Congress 2023 / 2023. július 9-14.

Integration of Robust Control with Reinforcement Learning for Safe Autonomous Vehicle Motion

Acta Polytechnica Hungarica (Vol. 20, No. 7) / 2023. július

Providing Guaranteed Performances for an Enhanced Cruise Control Using Robust LPV Method

Part of the Advances in Industrial Control book series

Control of variable-geometry vehicle suspensions: design and analysis

Dr. Gáspár Péter, DSc

EEE International Symposium on Applied Computational Intelligence and Informatics (SACI)

A runtime-efficient multi-object tracking approach for automotive perception systems

Lindenmaier, L.

Dr. Aradi Szilárd, PhD

Dr. Bécsi Tamás, PhD

IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)

Multi-agent reinforcement learning for railway rescheduling

IEEE Control Systems Letters (Vol. 7) / 2023 június 21.

Minimal Realizations of Input–Output Behaviors by LPV State-Space Representations With Affine Dependence