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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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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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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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IEEE Control Systems Letters
On improved commutation for moving-magnet planar actuators
Broens Y.
Butler, H.
Roland Tóth, PhD
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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.
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