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2020 – today
- 2024
[j22]Máté Fazekas, Péter Gáspár:
Wheel odometry model calibration with neural network-based weighting. Eng. Appl. Artif. Intell. 134: 108631 (2024)- [c137]Balázs Németh, Attila Lelkó, Tamás Hegedüs, Péter Gáspár:
Stability Analysis and Control Design for Automated Vehicles Based on Data-Aided Model Augmentation. ACC 2024: 5030-5035 - [c136]Dániel Fényes, Tamás Hegedüs, Balázs Németh, Vu Van Tan, Péter Gáspár:
An improved side-slip estimation algorithm based on ultra-local model technique for autonomous vehicles. CoDIT 2024: 1631-1636 - [c135]Dániel Fényes, Balázs Németh, Péter Gáspár:
An Improved Lateral Vehicle Control Design Using Ultra-Local Model-Based Slip Estimation. MED 2024: 310-315 - [c134]Tamás Hegedüs, Balázs Németh, Péter Gáspár:
Identification of Tire Characteristics Using Physics-Informed Neural Network for Road Vehicles. MED 2024: 706-711 - 2023
- [j21]László Lindenmaier
, Szilárd Aradi, Tamás Bécsi, Olivér Töro, Péter Gáspár:
Object-Level Data-Driven Sensor Simulation for Automotive Environment Perception. IEEE Trans. Intell. Veh. 8(10): 4341-4356 (2023) - [c133]Hakan Basargan, Filip Jenis, András Mihály, Péter Gáspár:
Fault-tolerant control of semi-active suspension in case of oil leakage of magnetorheological damper. ECC 2023: 1-6 - [c132]Balázs Németh, Máté Fazekas, Zoltán Bagoly, Péter Gáspár, Olivier Sename:
LPV-Based Control Design with Guarantees: a Case Study for Automated Steering of Road Vehicles. ECC 2023: 1-6 - [c131]Daniel Fenyes, Tamás Hegedüs, Vu Van Tan, Peter Gaspar:
An Observer Design Method Using Ultra-Local Model for Autonomous Vehicles. ICINCO (2) 2023: 41-49 - [c130]Tamás Hegedüs, Daniel Fenyes, Vu Van Tan, Peter Gaspar:
Lateral Control for Automated Vehicles Based on Model Predictive Control and Error-Based Ultra-Local Model. ICINCO (2) 2023: 142-149 - [c129]Tamás Hegedüs, Dániel Fényes, Balázs Németh, Péter Gáspár:
Cooperation Strategy for Optimal Motion of Aerial and Ground Vehicles. MED 2023: 19-24 - 2022
- [j20]Attila Csaba Marosi, Márk Emodi, Attila Farkas, Róbert Lovas, Richárd Beregi, Gianfranco Pedone, Balázs Németh, Péter Gáspár:
Toward Reference Architectures: A Cloud-Agnostic Data Analytics Platform Empowering Autonomous Systems. IEEE Access 10: 60658-60673 (2022) - [j19]Michal Kompan, Peter Gaspar, Jakub Macina, Matus Cimerman, Mária Bieliková:
Exploring Customer Price Preference and Product Profit Role in Recommender Systems. IEEE Intell. Syst. 37(1): 89-98 (2022) - [j18]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) - [j17]Laszlo Szoke, Szilárd Aradi, Tamás Bécsi, Péter Gáspár:
Skills to Drive: Successor Features for Autonomous Highway Pilot. IEEE Trans. Intell. Transp. Syst. 23(10): 18707-18718 (2022) - [j16]László Lindenmaier, Szilárd Aradi, Tamás Bécsi, Olivér Töro, Péter Gáspár:
GM-PHD Filter Based Sensor Data Fusion for Automotive Frontal Perception System. IEEE Trans. Veh. Technol. 71(7): 7215-7229 (2022) - [c128]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 - [c127]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 - [c126]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 - [c125]Balázs Németh, Zsófia Farkas, Zoltán Antal, Péter Gáspár:
Hierarchical control design of automated vehicles for multi-vehicle scenarios in roundabouts. ECC 2022: 1964-1969 - [c124]Máté Fazekas, Balázs Németh, Péter Gáspár:
Calibration of the Nonlinear Wheel Odometry Model with an Improved Genetic Algorithm Architecture. ICINCO 2022: 640-648 - [c123]Hakan Basargan, András Mihály, Péter Gáspár, Olivier Sename:
LPV-Fuzzy control approach for road adaptive semi-active suspension system. IV 2022: 779-784 - [c122]Hakan Basargan, András Mihály, Péter Gáspár, Olivier Sename:
Integrated adaptive velocity and semi-active suspension control for different road profiles. MED 2022: 933-938 - [c121]Zsófia Farkas, András Mihály, Péter Gáspár:
MPC Control Strategy for Autonomous Vehicles Driving in Roundabouts. MED 2022: 939-944 - [i5]Michal Kompan, Peter Gaspar, Jakub Macina, Matus Cimerman, Mária Bieliková:
Exploring Customer Price Preference and Product Profit Role in Recommender Systems. CoRR abs/2203.06641 (2022) - 2021
- [j15]Máté Fazekas, Péter Gáspár, Balázs Németh:
Calibration and Improvement of an Odometry Model with Dynamic Wheel and Lateral Dynamics Integration. Sensors 21(2): 337 (2021) - [j14]Olivér Töro, Tamás Bécsi, Péter Gáspár:
PHD Filter for Object Tracking in Road Traffic Applications Considering Varying Detectability. Sensors 21(2): 472 (2021) - [c120]Máté Fazekas, Péter Gáspár, Balázs Németh:
Improving the wheel odometry calibration of self-driving vehicles via detection of faulty segments. CASE 2021: 144-150 - [c119]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 - [c118]Hakan Basargan, András Mihály, Péter Gáspár, Olivier Sename:
Road adaptive semi-active suspension and cruise control through LPV technique. ECC 2021: 461-466 - [c117]Hakan Basargan, András Mihály, Péter Gáspár:
Fault-Tolerant Trajectory Tracking Control for Autonomous Vehicle Based on Camera and GPS. ECC 2021: 473-478 - [c116]Attila Lelkó, Balázs Németh, Péter Gáspár:
Stability and tracking performance analysis for control systems with feed-forward neural networks. ECC 2021: 1485-1490 - [c115]Máté Fazekas, Péter Gáspár, Balázs Németh:
Odometry Model Calibration for Self-Driving Vehicles with Noise Correction. IROS 2021: 8860-8865 - [c114]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 - [c113]Máté Fazekas, Péter Gáspár, Balázs Németh:
Challenges of the Application of Front-Wheel Odometry for Vehicle Localization. MED 2021: 132-137 - [c112]Hakan Basargan, András Mihály, Péter Gáspár, Olivier Sename:
Fault-tolerant semi-active suspension control for degradation in damper performance. MED 2021: 1191-1196 - [c111]Máté Fazekas, Péter Gáspár, Balázs Németh:
Estimation of wheel odometry model parameters with improved Gauss-Newton method. MFI 2021: 1-6 - [c110]Balázs Németh, András Mihály, Péter Gáspár:
Design of fault-tolerant cruise control in a hierarchical framework for connected automated vehicles. SysTol 2021: 1-6 - [c109]Máté Fazekas, Péter Gáspár, Balázs Németh:
Parameter Identification of the Nonlinear Wheel Odometry Model with Batch Least Squares Method. SysTol 2021: 360-365 - [p3]Balázs Németh, Péter Gáspár:
Guaranteed Performances for Learning-Based Control Systems Using Robust Control Theory. Deep Learning for Unmanned Systems 2021: 109-142 - 2020
- [j13]Tamás Bécsi, Ádám Szabó, Bálint Kövári, Szilárd Aradi, Péter Gáspár:
Reinforcement Learning Based Control Design for a Floating Piston Pneumatic Gearbox Actuator. IEEE Access 8: 147295-147312 (2020) - [c108]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 - [c107]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 - [c106]Azedine Boulmakoul, Zoltán Fazekas, Lamia Karim, Péter Gáspár, Ghyzlane Cherradi:
Fuzzy similarities for road environment-type detection by a connected vehicle from traffic sign probabilistic data. ANT/EDI40 2020: 59-66 - [c105]Máté Fazekas, Péter Gáspár, Balázs Németh:
Vision-based motion estimation for vehicles on test track via cone markers. CogInfoCom 2020: 387-392 - [c104]Balázs Németh, Tamás Hegedüs, Péter Gáspár:
Performance Guarantees on Machine-Learning-based Overtaking Strategies for Autonomous Vehicles. ECC 2020: 136-141 - [c103]Árpád Fehér, Szilárd Aradi, Tamás Bécsi, Péter Gáspár, Zsolt Szalay:
Proving Ground Test of a DDPG-based Vehicle Trajectory Planner. ECC 2020: 332-337 - [c102]Zsófia Farkas, András Mihály, Péter Gáspár:
Control methods for the coordination of autonomous vehicles at intersections. ECC 2020: 668-673 - [c101]Dániel Fényes, Balázs Németh, Péter Gáspár:
LPV based data-driven modeling and control design for autonomous vehicles. ECC 2020: 1371-1376 - [c100]Manh-Hung Do, Damien Koenig, Didier Theilliol, Péter Gáspár:
Frequency-shaping observer-based controller design for actuator degradation: Application to suspension system. MED 2020: 1-6 - [c99]Máté Fazekas, Balázs Németh, Péter Gáspár, Olivier Sename:
Vehicle odometry model identification considering dynamic load transfers. MED 2020: 19-24 - [c98]Hakan Basargan, András Mihály, Péter Gáspár, Olivier Sename:
Integrated multi-criteria velocity and semi-active suspension control based on look-ahead road information. MED 2020: 25-30 - [c97]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 - [c96]Máté Fazekas, Péter Gáspár, Balázs Németh:
Identification of kinematic vehicle model parameters for localization purposes. MFI 2020: 373-380 - [c95]Laszlo Szoke, Szilárd Aradi, Tamás Bécsi, Peter Gaspar:
Vehicle Control in Highway Traffic by Using Reinforcement Learning and Microscopic Traffic Simulation. SISY 2020: 21-26 - [c94]Péter Szilassy, Balázs Németh, Péter Gáspár:
Predictive Speed Control for Automated Vehicles in Urban Area using Speed Zones. SISY 2020: 43-48 - [i4]Balázs Németh, Péter Gáspár:
Guaranteeing Performance Specifications for Vehicle Systems with Learning Agents through the Robust Control Theory. ERCIM News 2020(122) (2020)
2010 – 2019
- 2019
- [j12]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) - [c93]Balázs Németh, Péter Gáspár:
Coordination of automated and human-driven vehicles in intersection scenarios. ACC 2019: 5278-5283 - [c92]Peter Gaspar, Michal Kompan, Matej Koncal, Mária Bieliková:
Improving the Personalized Recommendation in the Cold-start Scenarios. DSAA 2019: 606-607 - [c91]András Mihály, Péter Gáspár, Hakan Basargan:
Maximizing autonomous in-wheel electric vehicle battery state of charge with optimal control allocation. ECC 2019: 250-255 - [c90]Balázs Németh, Tamás Hegedüs, Péter Gáspár:
Model Predictive Control Design for Overtaking Maneuvers for Multi-Vehicle Scenarios. ECC 2019: 744-749 - [c89]Dániel Fényes, Balázs Németh, Péter Gáspár:
Impact of big data on the design of MPC control for autonomous vehicles. ECC 2019: 4154-4159 - [c88]Árpád Fehér, Szilárd Aradi, Ferenc Hegedüs, Tamás Bécsi, Péter Gáspár:
Hybrid DDPG Approach for Vehicle Motion Planning. ICINCO (1) 2019: 422-429 - [c87]Péter Szilassy, Balázs Németh, Péter Gáspár, Ferenc Szauter, Daniel Pup:
Robustness analysis and reconfiguration strategy of autonomous vehicles in intersections. SACI 2019: 45-50 - [c86]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 - [c85]Zoltán Fazekas, Gábor Balázs, Péter Gáspár:
A Heuristic Approach to Road Environment-type Detection from Traffic Sign Data. SysTol 2019: 288-293 - [i3]Zoltán Fazekas, Gábor Balázs, Péter Gáspár:
Building upon Modularity in Artificial Neural Networks. ERCIM News 2019(116) (2019) - 2018
- [c84]Szilárd Aradi, Tamás Bécsi, Peter Gaspar:
Policy Gradient Based Reinforcement Learning Approach for Autonomous Highway Driving. CCTA 2018: 670-675 - [c83]Andras Mihaly, Péter Gáspár:
Reconfiguration control of in-wheel electric vehicle based on battery state of charge. ECC 2018: 1-6 - [c82]Daniel Fenyes, Balázs Németh, Peter Gaspar:
Analysis of autonomous vehicle dynamics based on the big data approach. ECC 2018: 219-224 - [c81]Balázs Németh, Peter Gaspar, Gergely Santha:
Design and Verification of Autonomous Steering Control Based on Driver Modeling. ECC 2018: 953-958 - [c80]Ádám Szabó, Tamás Bécsi, Peter Gaspar, Szilárd Aradi:
Control oriented modeling of an electro-pneumatic gearbox actuator. ECC 2018: 2623-2628 - [c79]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 - [c78]Balázs Németh, Zsuzsanna Bede, Peter Gaspar:
MPC-Based Coordinated Control Design for Look-Ahead Vehicles and Traffic Flow. MED 2018: 247-252 - [c77]Balázs Németh, Mate Fazekas, Peter Gaspar:
Anti-Lock Braking Control Design for Electric Vehicles Using LPV Methods. MED 2018: 511-516 - [c76]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 - [c75]Ádám Szabó, Tamás Bécsi, Peter Gaspar, Szilárd Aradi:
Control design of an electro-pneumatic gearbox actuator. MESA 2018: 1-6 - [c74]Péter Gáspár, Michal Kompan, Jakub Simko, Mária Bieliková:
Analysis of User Behavior in Interfaces with Recommended Items: An Eye-tracking Study. IntRS@RecSys 2018: 32-36 - [c73]Olivér Töro, Tamás Bécsi, Szilárd Aradi, Péter Gáspár:
IMM Bernoulli Gaussian Particle Filter ⁎. SyRoCo 2018: 274-279 - [c72]Tamás Bécsi, Szilárd Aradi, Ádám Szabó, Péter Gáspár:
Policy gradient based Reinforcement learning control design of an electro-pneumatic gearbox actuator ⁎. SyRoCo 2018: 405-411 - [c71]Tamás Bécsi, Szilárd Aradi, Árpád Fehér, János Szalay, Péter Gáspár:
Highway Environment Model for Reinforcement Learning ⁎. SyRoCo 2018: 429-434 - [p2]Michal Kompan, Peter Gaspar, Mária Bieliková:
Hybrid Collaborative Recommendations: Practical Considerations and Tools to Develop a Recommender. Collaborative Recommendations 2018: 127-172 - 2017
- [j11]Balázs Németh, Peter Gaspar:
The Relationship Between the Traffic Flow and the Look-Ahead Cruise Control. IEEE Trans. Intell. Transp. Syst. 18(5): 1154-1164 (2017) - [c70]Andras Mihaly, Ádám Kisari, Peter Gaspar, Balázs Németh:
Design of adaptive vehicle suspension using cloud-based road data. AIM 2017: 529-534 - [c69]Balázs Németh, Daniel Fenyes, Peter Gaspar, Andras Mihaly:
Analysis and robust control design of a steering system for autonomous vehicles. AIM 2017: 535-540 - [c68]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 - [c67]Balázs Németh, Zsuzsanna Bede, Péter Gáspár:
Control design of traffic flow using look-ahead vehicles to increase energy efficiency. ACC 2017: 3530-3535 - [c66]Zoltán Fazekas, Gábor Balázs, László Gerencsér, Péter Gáspár:
Detecting Change in the Urban Road Environment Along a Route Based on Traffic Sign and Crossroad Data. INTSYS 2017: 252-262 - [c65]Balázs Németh, Daniel Fenyes, Peter Gaspar, Jozsef Bokor:
Control design of an electro-hydraulic actuator for variable-geometry suspension systems. MED 2017: 180-185 - [c64]Peter Gaspar:
User Preferences Analysis Using Visual Stimuli. RecSys 2017: 436-440 - [i2]Péter Gáspár, Tamás Szirányi, Levente Hajder, Alexandros Soumelidis, Zoltán Fazekas, Csaba Benedek:
Adding Autonomous Features to a Production Electric Car. ERCIM News 2017(109) (2017) - [i1]Zsolt Szalay, Domokos Esztergár-Kiss, Tamás Tettamanti, Péter Gáspár, István Varga:
RECAR: Hungarian Research Centre for Autonomous Road Vehicles is on the Way. ERCIM News 2017(109) (2017) - 2016
- [j10]Balázs Németh, Péter Gáspár, Tamás Péni:
Nonlinear analysis of vehicle control actuations based on controlled invariant sets. Int. J. Appl. Math. Comput. Sci. 26(1): 31-43 (2016) - [j9]Sándor Hajdu, Péter Gáspár:
Reducing the mast vibration of single-mast stacker cranes by gain-scheduled control. Int. J. Appl. Math. Comput. Sci. 26(4): 791-802 (2016) - [j8]Péter Gáspár, Balázs Németh:
Integrated control design for driver assistance systems based on LPV methods. Int. J. Control 89(12): 2420-2433 (2016) - [c63]Balázs Németh, Péter Gáspár:
The impact of traffic flow on the look-ahead cruise control. ACC 2016: 5988-5993 - [c62]Balázs Németh, Péter Gáspár, Jozsef Bokor:
LPV-based integrated vehicle control design considering the nonlinear characteristics of the tire. ACC 2016: 6893-6898 - [c61]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 - [c60]Peter Gaspar, Balázs Németh, Jozsef Bokor, Olivier Sename, Luc Dugard:
The impact of suspension control on the controllability of the lateral vehicle dynamics. CDC 2016: 1576-1581 - [c59]Peter Gaspar, Jakub Simko:
Linking Multimedia to Microblogs for Metadata Extraction. ENIC 2016: 90-97 - [c58]Balázs Németh, Péter Gáspár, Andras Mihaly:
Analysis of interactions between look-ahead control and traffic speed. ECC 2016: 2459-2464 - [c57]Andras Mihaly, Peter Gaspar:
Robust and fault-tolerant control of in-wheel vehicles with cornering resistance minimization. ECC 2016: 2590-2595 - [c56]Tomas Matlovic, Peter Gaspar, Róbert Móro, Jakub Simko, Mária Bieliková:
Emotions detection using facial expressions recognition and EEG. SMAP 2016: 18-23 - 2015
- [j7]Balázs Németh, Balázs Varga, Péter Gáspár:
Hierarchical design of an electro-hydraulic actuator based on robust LPV methods. Int. J. Control 88(8): 1429-1440 (2015) - [j6]Tamás Bécsi, Szilárd Aradi, Peter Gaspar:
Educational Frameworks for Vehicle Mechatronics. IEEE Trans. Intell. Transp. Syst. 16(6): 3534-3542 (2015) - [c55]Balázs Németh, Peter Gaspar, Jozsef Bokor:
Improvement of the LPV-based vehicle control design considering the polynomial invariant set analysis. ACC 2015: 1513-1518 - [c54]Peter Gaspar, Balázs Németh:
Design of look-ahead cruise control using road and traffic conditions. ACC 2015: 3447-3452 - [c53]Balázs Németh, Alfréd Csikós, Péter Gáspár, István Varga:
Analysis of the urban network gating problem: An SOS programming approach. ECC 2015: 2652-2657 - [c52]Andras Mihaly, Balázs Németh, Zsuzsanna Bede, Peter Gaspar:
Look-ahead cruise control design in VISSIM simulation environment. MT-ITS 2015: 52-57 - [c51]Tamás Bécsi, Szilárd Aradi, Peter Gaspar:
Security issues and vulnerabilities in connected car systems. MT-ITS 2015: 477-482 - 2014
- [c50]Balázs Németh, Peter Gaspar:
Analysis and control of nonlinear actuator dynamics based on the sum of squares programming method. AIM 2014: 233-238 - [c49]Balázs Németh, Balázs Varga, Péter Gáspár:
Robust control design of an electro-hydraulic actuator. AIM 2014: 245-250 - [c48]Balázs Németh, Peter Gaspar, Jozsef Bokor:
Analysis of braking dynamics using parameter-dependent polynomial Control Lyapunov Functions. CDC 2014: 2536-2541 - [c47]Balázs Varga, Balázs Németh, Peter Gaspar:
Hierarchical design of electro-hydraulic actuator control for vehicle dynamic purposes. ECC 2014: 999-1004 - [c46]Szilárd Aradi, Tamás Bécsi, Péter Gáspár:
Design of predictive optimization method for energy-efficient operation of trains. ECC 2014: 2490-2495 - [c45]Gabriella Varga, Gábor Rödönyi, Péter Gáspár, Jozsef Bokor:
Lyapunov-Krasovskii functionals for evaluating H∞ performance of platoons of communicating vehicles. ICCVE 2014: 590-595 - [c44]Szilárd Aradi, Tamás Bécsi, Péter Gáspár, Gabor Barany, Adam Hajdu:
Design of wireless gateway between on-board vehicle wired networks and mobile devices. ICCVE 2014: 612-617 - [c43]Adam Bakos, Peter Gaspar, Alexandros Soumelidis:
System architecture and hierarchical control for in-wheel electric motor vehicles. MED 2014: 24-29 - [c42]Balázs Németh, Balázs Varga, Peter Gaspar:
Design of a variable-geometry suspension system to enhance road stability. MED 2014: 55-60 - [c41]Peter Gaspar, Balázs Németh:
Design of look-ahead control for road vehicles using traffc information. MED 2014: 201-206 - [c40]Szilárd Aradi, Tamás Bécsi, Peter Gaspar:
Experimental vehicle development for testing autonomous vehicle functions. MESA 2014: 1-5 - [c39]Tamás Bécsi, Szilárd Aradi, Peter Gaspar:
Design of an educational emulation framework for mechatronics control unit development. MESA 2014: 1-5 - [c38]Andras Mihaly, Peter Gaspar:
Identification of a linear driver model based on simulator experiments. SACI 2014: 13-18 - 2013
- [j5]Moustapha Doumiati, Olivier Sename, Luc Dugard, John Jairo Martinez Molina, Peter Gaspar, Zoltán Szabó:
Integrated vehicle dynamics control via coordination of active front steering and rear braking. Eur. J. Control 19(2): 121-143 (2013) - [j4]Balázs Németh, Peter Gaspar:
Control Design of Variable-Geometry Suspension Considering the Construction System. IEEE Trans. Veh. Technol. 62(8): 4104-4109 (2013) - [c37]Gábor Rödönyi, Peter Gaspar, Jozsef Bokor:
Unfalsified uncertainty modeling for computing tight bounds on peak spacing errors in vehicle platoons. ACC 2013: 3057-3062 - [c36]Zoltán Szabó, Zsolt Biró, Peter Gaspar, Jozsef Bokor:
Elimination lemma and contractive extensions. CDC 2013: 3049-3054 - [c35]Balázs Németh, Peter Gaspar, Jozsef Bokor:
Integrated control design based on driver-in-the-loop vehicle dynamics. CDC 2013: 3517-3522 - [c34]Gábor Rödönyi, Péter Gáspár:
Model invalidation for repeated ℓ1-bounded linear time-varying uncertainty models. ECC 2013: 1347-1352 - [c33]Balázs Németh, Peter Gaspar:
Variable-geometry suspension design in driver assistance systems. ECC 2013: 1481-1486 - [c32]Balázs Németh, Peter Gaspar:
Analysis of vehicle actuators based on reachable sets. ECC 2013: 3137-3142 - 2012
- [j3]Peter Gaspar, Zoltán Szabó, Jozsef Bokor:
LPV design of fault-tolerant control for road vehicles. Int. J. Appl. Math. Comput. Sci. 22(1): 173-182 (2012) - [c31]Peter Gaspar, Balázs Németh, Jozsef Bokor:
Design of supervisory integrated control based on driver models in a simulation environment. CCA 2012: 124-129 - [c30]Balázs Németh, Peter Gaspar:
Control design based on the integration of steering and suspension systems. CCA 2012: 382-387 - [c29]Zoltán Szabó, Peter Gaspar, Jozsef Bokor:
qLPV design method for multi-objective vehicle control. CCA 2012: 1485-1490 - [c28]Peter Gaspar, Balázs Németh, Jozsef Bokor:
Design of an integrated control for driver assistance systems based on LPV methods. ACC 2012: 2916-2921 - [c27]Peter Gaspar, Balázs Németh, Jozsef Bokor:
Design of a supervisory integrated control for driver assistance systems. CDC 2012: 5022-5027 - [c26]Gábor Rödönyi, Peter Gaspar, Jozsef Bokor, László Palkovics:
Design and Analysis of an Automated Heavy Vehicle Platoon. ICINCO (2) 2012: 31-37 - [c25]Peter Gaspar, Balázs Németh, Jozsef Bokor:
Design of an LPV-Based Integrated Control for Driver Assistance Systems. ROCOND 2012: 511-516 - [c24]Peter Gaspar, Balázs Németh, Jozsef Bokor:
Design of Integrated Vehicle Control Using Driver Models. ROCOND 2012: 517-522 - [c23]Balázs Németh, Alfréd Csikós, István Varga, Peter Gaspar:
Design of Platoon Velocity Based on Multi-Criteria Optimization. ROCOND 2012: 523-528 - [c22]Gábor Rödönyi, Peter Gaspar, Jozsef Bokor, László Palkovics, Szilárd Aradi, Zoltán Hankovszki, Roland Kovács:
Guaranteed Peaks of Spacing Errors in an Experimental Vehicle String. ROCOND 2012: 759-764 - 2011
- [c21]Peter Gaspar, Zoltán Szabó, Jozsef Bokor:
LPV design of reconfigurable and integrated control for road vehicles. CDC/ECC 2011: 2505-2510 - [c20]Balázs Németh, Peter Gaspar:
Design of actuator interventions in the trajectory tracking for road vehicles. CDC/ECC 2011: 7434-7439 - [c19]Balázs Németh, Peter Gaspar:
Integration of control design and variable geometry suspension construction for vehicle stability enhancement. CDC/ECC 2011: 7452-7457
2000 – 2009
- 2009
- [c18]Zoltán Szabó, Péter Gáspár, Szabolcs Nagy, Péter Baranyi:
Control-oriented Qlpv modeling using TP Transformation. ECC 2009: 2640-2645 - [c17]Péter Gáspár, Zoltán Szabó, József Bokor:
LPV-based reconfigurable chassis design. ECC 2009: 3634-3639 - [p1]Peter Gaspar:
Model-Based Control Design of Integrated Vehicle Systems. Towards Intelligent Engineering and Information Technology 2009: 103-119 - 2008
- [c16]István Varga, Gábor Szederkényi, Peter Gaspar, Jozsef Bokor:
Implementation of dynamic inversion-based control of a pressurizer at the Paks NPP. CCA 2008: 79-84 - [c15]Peter Gaspar, Zoltán Szabó, Jozsef Bokor:
Design of reconfigurable and fault-tolerant suspension systems based on LPV methods. CDC 2008: 5384-5389 - [c14]Zoltán Petres, Szabolcs Nagy, Peter Gaspar, Péter Baranyi:
H℞ gain-scheduling based control of the heavy vehicle model, a TP model transformation based control. FUZZ-IEEE 2008: 1542-1547 - 2007
- [j2]Charles Poussot-Vassal, Zoltán Szabó, Peter Gaspar, Jozsef Bokor:
Discussion on: Combining Slip and Deceleration Control for Brake-by-wire Control Systems: A Sliding-mode Approach. Eur. J. Control 13(6): 612-617 (2007) - [c13]Peter Gaspar, Zoltán Szabó, Jozsef Bokor:
A grey-box identification of an LPV vehicle model for observer-based side slip angle estimation. ACC 2007: 2961-2966 - 2006
- [c12]Péter Gáspár, Zoltán Szabó, József Bokor:
Side force coefficient estimation for the design of active brake control. ACC 2006: 1-6 - [c11]Alessandro Zin, Olivier Sename, Peter Gaspar, Luc Dugard, Jozsef Bokor:
An LPV/H~~ Active Suspension Control for Global Chassis Technology: Design and Performance Analysis. ACC 2006: 2945-2950 - 2005
- [c10]Peter Gaspar, Zoltán Szabó, Jozsef Bokor:
Gray-Box Continuous-Time Parameter Identification for Lpv Models with Vehicle Dynamics Applications. ISIC 2005: 393-398 - [c9]Peter Gaspar, Zoltán Szabó, Jozsef Bokor:
Prediction Based Combined Control to Prevent the Rollover of Heavy Vehicles. ISIC 2005: 575-580 - [c8]Zoltán Szabó, Peter Gaspar, Jozsef Bokor:
Reference Tracking for Wiener Systems Using Dynamic Inversion. ISIC 2005: 1190-1194 - [c7]Peter Gaspar, Zoltán Szabó, Jozsef Bokor:
The Design of an Integrated Control System in Heavy Vehicles Based on an LPV Method. CDC/ECC 2005: 6722-6727 - 2004
- [j1]Peter Gaspar, István Szászi, Jozsef Bokor:
The Design of a Combined Control Structure to Prevent the Rollover of Heavy Vehicles. Eur. J. Control 10(2): 148-162 (2004) - 2003
- [c6]Péter Gáspár, István Szászi, Jozsef Bokor:
Robust servo control design for mechanical systems using mixed uncertainty modelling. ECC 2003: 342-347 - [c5]Péter Gáspár, István Szászi, Jozsef Bokor:
Brake control to prevent the rollover of heavy vehicles based on a linear parameter varying model. ECC 2003: 3100-3105 - 2001
- [c4]Péter Gáspár, Zoltán Szabó, Jozsef Bokor:
A loop shaping design using weighted generalized orthonormal basis functions. ECC 2001: 3486-3491 - [c3]Péter Gáspár, István Szászi, Gary J. Balas, József Bokor:
Active suspension design based on mixed uncertainty modelling. ECC 2001: 3624-3629 - 2000
- [c2]Peter Gaspar, Zoltán Szabó, Jozsef Bokor:
Robust control synthesis to achieve a required loop shape-a generalized orthonormal basis function approach. ACC 2000: 3840-3844
1990 – 1999
- 1999
- [c1]Péter Gáspár, Jozsef Bokor:
Multiobjective control design using an identified model. ECC 1999: 912-917
Coauthor Index
Jozsef Bokor
aka: József Bokor
aka: József Bokor
Mate Fazekas
aka: Máté Fazekas
aka: Máté Fazekas
Daniel Fenyes
aka: Dániel Fényes
aka: Dániel Fényes
Andras Mihaly
aka: András Mihály
aka: András Mihály
[c137] [c136] [c135] [c134] [c132] [c129] [j20] [j18] [c128] [c127] [c126] [c125] [c124] [j15] [c120] [c119] [c116] [c115] [c114] [c113] [c111] [c110] [c109] [p3] [c108] [c107] [c105] [c104] [c101] [c99] [c97] [c96] [c94] [i4] [j12] [c93] [c90] [c89] [c87] [c86] [c82] [c81] [c79] [c78] [c77] [c76] [j11] [c70] [c69] [c68] [c67] [c65] [j10] [j8] [c63] [c62] [c61] [c60] [c58] [j7] [c55] [c54] [c53] [c52] [c50] [c49] [c48] [c47] [c42] [c41] [j4] [c35] [c33] [c32] [c31] [c30] [c28] [c27] [c25] [c24] [c23] [c20] [c19]
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