Trajectory tracking based on independently controlled variable-geometry suspension for in-wheel electric vehicles. - Balázs Németh 001; Daniel Fenyes; Péter Gáspár; Jozsef Bokor (CDC, 2016)

Analysis and robust control design of a steering system for autonomous vehicles. - Balázs Németh 001; Daniel Fenyes; Peter Gaspar; Andras Mihaly (AIM, 2017)

Robust control design for the integration of steering and torque vectoring using a variable-geometry suspension system. - Balázs Németh 001; Péter Gáspár; Daniel Fenyes; Jozsef Bokor (ACC, 2017)

Control design of an electro-hydraulic actuator for variable-geometry suspension systems. - Balázs Németh 001; Daniel Fenyes; Peter Gaspar; Jozsef Bokor (MED, 2017)

Analysis of autonomous vehicle dynamics based on the big data approach. - Daniel Fenyes; Balázs Németh 001; Peter Gaspar (ECC, 2018)

A Novel Big-data-based Estimation Method of Side-slip Angles for Autonomous Road Vehicles. - Daniel Fenyes; Balázs Németh 001; Péter Gáspár (ICINCO (1), 2018)

Side-slip Angle Estimation of Autonomous Road Vehicles Based on Big Data Analysis. - Daniel Fenyes; Balázs Németh 001; Mate Asszonyi; Peter Gaspar (MED, 2018)

Impact of big data on the design of MPC control for autonomous vehicles. - Dániel Fényes; Balázs Németh 001; Péter Gáspár (ECC, 2019)

Study on a road surface estimation method based on big data analysis. - Dániel Fényes; Balázs Németh 001; Péter Gáspár; Daniel Pup; Ferenc Szauter (SACI, 2019)

Coordination of Independent Steering and Torque Vectoring in a Variable-Geometry Suspension System. - Balázs Németh 001; Daniel Fenyes; Péter Gáspár; József Bokor (IEEE Trans. Control. Syst. Technol., 2019)

LPV-based autonomous vehicle control using the results of big data analysis on lateral dynamics. - Dániel Fényes; Balázs Németh 001; Péter Gáspár (ACC, 2020)

Handling of tire pressure variation in autonomous vehicles: an integrated estimation and control design approach. - Tamás Hegedüs; Dániel Fényes; Balázs Németh 001; Péter Gáspár (ACC, 2020)

LPV based data-driven modeling and control design for autonomous vehicles. - Dániel Fényes; Balázs Németh 001; Péter Gáspár (ECC, 2020)

LPV control for autonomous vehicles using a machine learning-based tire pressure estimation. - Dániel Fényes; Tamás Hegedüs; Balázs Németh 001; Péter Gáspár; Damien Koenig; Olivier Sename (MED, 2020)

Data-driven modeling and control design in a hierarchical structure for a variable-geometry suspension test bed. - Dániel Fényes; Balázs Németh 001; Péter Gáspár (CDC, 2021)

Observer design with performance guarantees for vehicle control purposes via the integration of learning-based and LPV approaches. - Dániel Fényes; Tamás Hegedüs; Balázs Németh 001; Péter Gáspár (IV Workshops, 2021)

Design of Model Free Control with tuning method on ultra-local model for lateral vehicle control purposes. - Tamás Hegedüs; Dániel Fényes; Balázs Németh 001; Zoltán Szabó 002; Péter Gáspár (ACC, 2022)

Combined LPV and ultra-local model-based control design approach for autonomous vehicles. - Dániel Fényes; Tamás Hegedüs; Balázs Németh 001; Zoltán Szabó 002; Péter Gáspár (CDC, 2022)

Robust control design using ultra-local model-based approach for vehicle-oriented control problems. - Dániel Fényes; Tamás Hegedüs; Balázs Németh 001; Zoltán Szabó 002; Péter Gáspár (ECC, 2022)

Combined observer design for road vehicles using LPV-based and learning-based methods. - Dániel Fényes; Tamás Hegedüs; Balázs Németh 001 (MED, 2022)

Design of LPV control for autonomous vehicles using the contributions of big data analysis. - Dániel Fényes; Balázs Németh 001; Péter Gáspár (Int. J. Control, 2022)

An Observer Design Method Using Ultra-Local Model for Autonomous Vehicles. - Daniel Fenyes; Tamás Hegedüs; Vu Van Tan; Peter Gaspar (ICINCO (2), 2023)

Lateral Control for Automated Vehicles Based on Model Predictive Control and Error-Based Ultra-Local Model. - Tamás Hegedüs; Daniel Fenyes; Vu Van Tan; Peter Gaspar (ICINCO (2), 2023)

Cooperation Strategy for Optimal Motion of Aerial and Ground Vehicles. - Tamás Hegedüs; Dániel Fényes; Balázs Németh 001; Péter Gáspár (MED, 2023)

Enhanced LPV-based lateral control using ultra-local model-based slip angle estimation. - Dániel Fényes; Tamás Hegedüs; Péter Gáspár (CDC, 2024)

An improved side-slip estimation algorithm based on ultra-local model technique for autonomous vehicles. - Dániel Fényes; Tamás Hegedüs; Balázs Németh 001; Vu Van Tan; Péter Gáspár (CoDIT, 2024)

An Improved Lateral Vehicle Control Design Using Ultra-Local Model-Based Slip Estimation. - Dániel Fényes; Balázs Németh 001; Péter Gáspár (MED, 2024)