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Publications

Széchenyi Plusz RRF
Sustainability

Variable speed limit control for the motorway–urban merging bottlenecks using multi-agent reinforcement learning

Fang, X.
Péter, T.
Tamás Tettamanti, PhD
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2023 European Control Conference (ECC)

Fault-tolerant control of semi-active suspension in case of oil leakage of magnetorheological damper

Basargan, H.
Jeniš, F.
Mihály, A.
Péter Gáspár, DSc
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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.
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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.
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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.
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Part of the Advances in Industrial Control book series

Control of variable-geometry vehicle suspensions: design and analysis

Németh, B.
Péter Gáspár, DSc
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Acta Polytechnica Hungarica (Vol. 20, No. 7) / July 2023

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

Németh, B.
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IEEE International Symposium on Applied Computational Intelligence and Informatics (SACI)

Multi-agent reinforcement learning for railway rescheduling

Kővári, B.
Balogh, Cs. L.
Aradi, Sz.
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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
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Kapcsolat

Prof. Dr. Péter Gáspár

Hungary, H-1111 Budapest,
Kende u. 13-17.
+36 1 279 6000
autonom@nemzetilabor.hu

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