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ORCIDBalázs Németh
- > Home > Persons > Balázs Németh
Publications
- 2023
[c87]Tamás Hegedüs, Dániel Fényes, Balázs Németh, Péter Gáspár:
Cooperation Strategy for Optimal Motion of Aerial and Ground Vehicles. MED 2023: 19-24- 2022
- [j15]Dániel Fényes
, Balázs Németh, Péter Gáspár:
Design of LPV control for autonomous vehicles using the contributions of big data analysis. Int. J. Control 95(7): 1802-1813 (2022) - [c85]Tamás Hegedüs, Dániel Fényes, Balázs Németh, Zoltán Szabó, Péter Gáspár:
Design of Model Free Control with tuning method on ultra-local model for lateral vehicle control purposes. ACC 2022: 4101-4106 - [c84]Dániel Fényes, Tamás Hegedüs, Balázs Németh, Zoltán Szabó, Péter Gáspár:
Combined LPV and ultra-local model-based control design approach for autonomous vehicles. CDC 2022: 3303-3308 - [c83]Dániel Fényes, Tamás Hegedüs, Balázs Németh, Zoltán Szabó, Péter Gáspár:
Robust control design using ultra-local model-based approach for vehicle-oriented control problems. ECC 2022: 1746-1751 - [c80]Dániel Fényes, Tamás Hegedüs, Balázs Németh:
Combined observer design for road vehicles using LPV-based and learning-based methods. MED 2022: 1074-1079 - 2021
- [c78]Dániel Fényes, Balázs Németh, Péter Gáspár:
Data-driven modeling and control design in a hierarchical structure for a variable-geometry suspension test bed. CDC 2021: 5047-5052 - [c75]Dániel Fényes, Tamás Hegedüs, Balázs Németh, Péter Gáspár:
Observer design with performance guarantees for vehicle control purposes via the integration of learning-based and LPV approaches. IV Workshops 2021: 122-127 - 2020
- [c70]Tamás Hegedüs, Dániel Fényes, Balázs Németh, Péter Gáspár:
Handling of tire pressure variation in autonomous vehicles: an integrated estimation and control design approach. ACC 2020: 2244-2249 - [c69]Dániel Fényes, Balázs Németh, Péter Gáspár:
LPV-based autonomous vehicle control using the results of big data analysis on lateral dynamics. ACC 2020: 2250-2255 - [c65]Dániel Fényes, Balázs Németh, Péter Gáspár:
LPV based data-driven modeling and control design for autonomous vehicles. ECC 2020: 1371-1376 - [c61]Dániel Fényes, Tamás Hegedüs, Balázs Németh, Péter Gáspár, Damien Koenig, Olivier Sename:
LPV control for autonomous vehicles using a machine learning-based tire pressure estimation. MED 2020: 212-217 - 2019
- [j8]Balázs Németh, Daniel Fenyes, Péter Gáspár, József Bokor:
Coordination of Independent Steering and Torque Vectoring in a Variable-Geometry Suspension System. IEEE Trans. Control. Syst. Technol. 27(5): 2209-2220 (2019) - [c54]Dániel Fényes, Balázs Németh, Péter Gáspár:
Impact of big data on the design of MPC control for autonomous vehicles. ECC 2019: 4154-4159 - [c51]Dániel Fényes, Balázs Németh, Péter Gáspár, Daniel Pup, Ferenc Szauter:
Study on a road surface estimation method based on big data analysis. SACI 2019: 57-62 - 2018
- [c49]Daniel Fenyes, Balázs Németh, Peter Gaspar:
Analysis of autonomous vehicle dynamics based on the big data approach. ECC 2018: 219-224 - [c46]Daniel Fenyes, Balázs Németh, Péter Gáspár:
A Novel Big-data-based Estimation Method of Side-slip Angles for Autonomous Road Vehicles. ICINCO (1) 2018: 430-436 - [c40]Daniel Fenyes, Balázs Németh, Mate Asszonyi, Peter Gaspar:
Side-slip Angle Estimation of Autonomous Road Vehicles Based on Big Data Analysis. MED 2018: 849-854 - 2017
- [c37]Balázs Németh, Daniel Fenyes, Peter Gaspar, Andras Mihaly:
Analysis and robust control design of a steering system for autonomous vehicles. AIM 2017: 535-540 - [c36]Balázs Németh, Péter Gáspár, Daniel Fenyes, Jozsef Bokor:
Robust control design for the integration of steering and torque vectoring using a variable-geometry suspension system. ACC 2017: 291-296 - [c32]Balázs Németh, Daniel Fenyes, Peter Gaspar, Jozsef Bokor:
Control design of an electro-hydraulic actuator for variable-geometry suspension systems. MED 2017: 180-185 - 2016
- [c28]Balázs Németh, Daniel Fenyes, Péter Gáspár, Jozsef Bokor:
Trajectory tracking based on independently controlled variable-geometry suspension for in-wheel electric vehicles. CDC 2016: 1570-1575
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