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Publications

22nd IFAC World Congress / 9-14 July 2023

A data based system representation

Szabó, Z.
Bokor, J.
Gáspár, P.
22. IFAC World Congress 2023 / 9-14 July 2023

Ultra-local model-based observer design for automated vehicles

Fényes, D.
Hegedűs, T.
Németh, B.
Gáspár, P.
22. IFAC World Congress 2023 / 9-14 July 2023

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

Tóth, Sz. H.
Viharos, Zs. J.
Bárdos, Á.
22. IFAC World Congress 2023 / 9-14 July 2023

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

Lelkó, A.
Németh, B.
Fényes, D.
Gáspár, P.
Acta Polytechnica Hungarica (Vol. 20, No. 7) / July 2023

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

Németh, B.
Part of the Advances in Industrial Control book series

Control of variable-geometry vehicle suspensions: design and analysis

Németh, B.
Péter Gáspár, DSc
EEE International Symposium on Applied Computational Intelligence and Informatics (SACI)

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

Lindenmaier, L.
Czibere, B.
Szilárd Aradi, PhD
Tamás Bécsi, PhD
IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)

Multi-agent reinforcement learning for railway rescheduling

Kővári, B.
Balogh, Cs. L.
Aradi, Sz.
IEEE Control Systems Letters (Vol. 7) / 21 June 2023

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

Petreczky, M.
Tóth, R.
Mercère, G.

Pagination

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Kapcsolat

Prof. Dr. Péter Gáspár

H-1111 Budapest, Kende u. 13-17.

+36 1 279 6000

autonom@nemzetilabor.hu

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