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Balázs Kulcsár
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2020 – today
- 2024
- [i16]Sangjun Bae, Balázs Kulcsár, Sebastien Gros:
Personalized Dynamic Pricing Policy for Electric Vehicles: Reinforcement learning approach. CoRR abs/2401.00661 (2024) - [i15]Attila Lischka, Jiaming Wu, Rafael Basso, Morteza Haghir Chehreghani, Balázs Kulcsár:
Less Is More - On the Importance of Sparsification for Transformers and Graph Neural Networks for TSP. CoRR abs/2403.17159 (2024) - [i14]Attila Lischka, Jiaming Wu, Morteza Haghir Chehreghani, Balázs Kulcsár:
A GREAT Architecture for Edge-Based Graph Problems Like TSP. CoRR abs/2408.16717 (2024) - 2023
- [j15]Rémi Lacombe, Sébastien Gros, Nikolce Murgovski, Balázs Kulcsár:
Distributed Eco-Driving Control of a Platoon of Electric Vehicles Through Riccati Recursion. IEEE Trans. Intell. Transp. Syst. 24(3): 3048-3063 (2023) - [j14]Balázs Varga, Mike Pereira, Balázs Kulcsár, Luigi Pariota, Tamás Péni:
Data-Driven Distance Metrics for Kriging-Short-Term Urban Traffic State Prediction. IEEE Trans. Intell. Transp. Syst. 24(6): 6268-6279 (2023) - [i13]Viktor Andersson, Balázs Varga, Vincent Szolnoky, Andreas Syrén, Rebecka Jörnsten, Balázs Kulcsár:
Controlled Descent Training. CoRR abs/2303.09216 (2023) - [i12]Jordanka Kovaceva, Nikolce Murgovski, Balázs Kulcsár, Henk Wymeersch, Jonas Bärgman:
Critical Zones for Comfortable Collision Avoidance with a Leading Vehicle. CoRR abs/2303.14709 (2023) - [i11]Rémi Lacombe, Nikolce Murgovski, Sébastien Gros, Balázs Kulcsár:
Integrated Charging Scheduling and Operational Control for an Electric Bus Network. CoRR abs/2309.00523 (2023) - [i10]Sondre Wiersdalen, Mike Pereira, Annika Lang, Gábor Szederkényi, Jean Auriol, Balázs Kulcsár:
Incremental Exponential Stability of the Unidirectional Flow Model. CoRR abs/2312.11061 (2023) - 2022
- [j13]Sangjun Bae, Inmo Jang, Sébastien Gros, Balázs Kulcsár, Jonas Hellgren:
A Game Approach for Charging Station Placement Based on User Preferences and Crowdedness. IEEE Trans. Intell. Transp. Syst. 23(4): 3654-3669 (2022) - [j12]Sangjun Bae, Sébastien Gros, Balázs Kulcsár:
Can AI Abuse Personal Information in an EV Fast-Charging Market? IEEE Trans. Intell. Transp. Syst. 23(7): 8759-8769 (2022) - [j11]Rémi Lacombe, Sébastien Gros, Nikolce Murgovski, Balázs Kulcsár:
Bilevel Optimization for Bunching Mitigation and Eco-Driving of Electric Bus Lines. IEEE Trans. Intell. Transp. Syst. 23(8): 10662-10679 (2022) - [c27]Vincent Szolnoky, Viktor Andersson, Balázs Kulcsár, Rebecka Jörnsten:
On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity. NeurIPS 2022 - [i9]Balázs Varga, Balázs Kulcsár, Morteza Haghir Chehreghani:
Deep Q-learning: a robust control approach. CoRR abs/2201.08610 (2022) - [i8]Vincent Szolnoky, Viktor Andersson, Balázs Kulcsár, Rebecka Jörnsten:
On the Interpretability of Regularisation for Neural Networks Through Model Gradient Similarity. CoRR abs/2205.12642 (2022) - [i7]Sten Elling Tingstad Jacobsen, Balázs Kulcsár, Anders Lindman:
A Predictive Chance Constraint Rebalancing Approach to Mobility-on-Demand Services. CoRR abs/2209.03214 (2022) - [i6]Rémi Lacombe, Nikolce Murgovski, Sébastien Gros, Balázs Kulcsár:
Conflict-free Charging and Real-time Control for an Electric Bus Network. CoRR abs/2210.06821 (2022) - 2021
- [j10]Danni Cao, Jiaming Wu, Jianjun Wu, Balázs Kulcsár, Xiaobo Qu:
A platoon regulation algorithm to improve the traffic performance of highway work zones. Comput. Aided Civ. Infrastructure Eng. 36(7): 941-956 (2021) - [i5]György Lipták, Mike Pereira, Balázs Kulcsár, Mihály Kovács, Gábor Szederkényi:
Traffic Reaction Model. CoRR abs/2101.10190 (2021) - [i4]Mike Pereira, Pinar Boyraz Baykas, Balázs Kulcsár, Annika Lang:
Parameter and density estimation from real-world traffic data: A kinetic compartmental approach. CoRR abs/2101.11485 (2021) - [i3]Balázs Varga, Balázs Kulcsár, Morteza Haghir Chehreghani:
Constrained Policy Gradient Method for Safe and Fast Reinforcement Learning: a Neural Tangent Kernel Based Approach. CoRR abs/2107.09139 (2021) - [i2]Mike Pereira, Annika Lang, Balázs Kulcsár:
Short-term traffic prediction using physics-aware neural networks. CoRR abs/2109.10253 (2021) - 2020
- [j9]Péter Polcz, Tamás Péni, Balázs Kulcsár, Gábor Szederkényi:
Induced L2-gain computation for rational LPV systems using Finsler's lemma and minimal generators. Syst. Control. Lett. 142: 104738 (2020)
2010 – 2019
- 2019
- [c26]Péter Polcz, Balázs Kulcsár, Tamás Péni, Gábor Szederkényi:
Passivity analysis of rational LPV systems using Finsler's lemma. CDC 2019: 3793-3798 - 2018
- [c25]Alfréd Csikós, Themistoklis Charalambous, Balázs Kulcsár:
Towards a robust traffic admission control in homogeneous urban vehicular networks under QoS constraints. ECC 2018: 1307-1313 - 2017
- [j8]Azita Dabiri, Balázs Kulcsár, Hakan Köroglu:
Distributed LPV State-Feedback Control Under Control Input Saturation. IEEE Trans. Autom. Control. 62(5): 2450-2456 (2017) - [j7]Azita Dabiri, Balázs Kulcsár:
Distributed Ramp Metering - A Constrained Discharge Flow Maximization Approach. IEEE Trans. Intell. Transp. Syst. 18(9): 2525-2538 (2017) - 2016
- [j6]Ali A. Zaidi, Balázs Kulcsár, Henk Wymeersch:
Back-Pressure Traffic Signal Control With Fixed and Adaptive Routing for Urban Vehicular Networks. IEEE Trans. Intell. Transp. Syst. 17(8): 2134-2143 (2016) - [c24]Azita Dabiri, Balázs Kulcsár:
Distributed dynamic output feedback control for discrete-time linear parameter varying systems. CDC 2016: 6080-6085 - [c23]Rafael Basso, Peter Lindroth, Balázs Kulcsár, Bo Egardt:
Traffic aware electric vehicle routing. ITSC 2016: 416-421 - 2015
- [c22]Azita Dabiri, Balázs Kulcsár, Hakan Köroglu:
Distributed LPV state-feedback control with application to motorway ramp metering. ECC 2015: 1480-1485 - [c21]Balázs Kulcsár, Konstantinos Ampountolas, Azita Dabiri:
Single-region robust perimeter traffic flow control. ECC 2015: 2628-2633 - [c20]Ali A. Zaidi, Balázs Kulcsár, Henk Wymeersch:
Traffic-adaptive signal control and vehicle routing using a decentralized back-pressure method. ECC 2015: 3029-3034 - 2014
- [j5]Tamás Tettamanti, Tamás Luspay, Balázs Kulcsár, Tamas Peni, István Varga:
Robust Control for Urban Road Traffic Networks. IEEE Trans. Intell. Transp. Syst. 15(1): 385-398 (2014) - [c19]Balázs Kulcsár, Jianfei Dong:
Impulse response parameter based internal model control for discrete-time LPV systems. ECC 2014: 424-429 - 2013
- [c18]Tamás Luspay, Balázs Kulcsár, Karolos M. Grigoriadis:
Mean-square optimal control of Linear Parameter Varying systems with noisy scheduling parameter measurements. ACC 2013: 6084-6089 - [c17]Azita Dabiri, Balázs Kulcsár:
Incident parameter estimation. ECC 2013: 3518-3523 - 2012
- [j4]Balázs Kulcsár, Michel Verhaegen:
Robust Inversion Based Fault Estimation for Discrete-Time LPV Systems. IEEE Trans. Autom. Control. 57(6): 1581-1586 (2012) - [j3]Balázs Kulcsár, Michel Verhaegen:
Correction to "Robust Inversion Based Fault Estimation for Discrete-Time LPV Systems". IEEE Trans. Autom. Control. 57(8): 2159 (2012) - [c16]Tamas Peni, Balázs Kulcsár, Jozsef Bokor:
Model recovery anti-windup control for linear discrete time systems with magnitude and rate saturation. ACC 2012: 1543-1548 - 2011
- [j2]Tamás Luspay, Balázs Kulcsár, Jan-Willem van Wingerden, Michel Verhaegen, Jozsef Bokor:
Linear Parameter Varying Identification of Freeway Traffic Models. IEEE Trans. Control. Syst. Technol. 19(1): 31-45 (2011) - [c15]Tamás Luspay, Balázs Kulcsár, Tamás Péni, István Varga:
Freeway ramp metering: An LPV set theoretical analysis. ACC 2011: 733-738 - 2010
- [c14]Balázs Kulcsár, Michel Verhaegen:
Robust cautious data driven control with guaranteed mean square stability. CDC 2010: 2276-2281 - [c13]Tamás Luspay, Balázs Kulcsár, István Varga, Solomon Kidane Zegeye, Bart De Schutter, Michel Verhaegen:
On acceleration of traffic flow. ITSC 2010: 741-746
2000 – 2009
- 2009
- [j1]Tamas Peni, Balázs Kulcsár, Jozsef Bokor:
Induced L2 Norm Improvement by Interpolating Controllers for Discrete-time LPV Systems. Eur. J. Control 15(5): 545-559 (2009) - [c12]Balázs Kulcsár, Jan-Willem van Wingerden, Jianfei Dong, Michel Verhaegen:
Closed-loop Subspace Predictive Control for Hammerstein systems. CDC 2009: 2604-2609 - [c11]Tamás Luspay, Balázs Kulcsár, Jan-Willem van Wingerden, Michel Verhaegen:
On the identification of LPV traffic flow model. ECC 2009: 1752-1757 - [c10]Tamás Luspay, Balázs Kulcsár, Tamás Tettamanti, István Varga, József Bokor:
Distributed state and unknown input estimation for freeway traffic flow models. ECC 2009: 1782-1787 - [c9]Jianfei Dong, Balázs Kulcsár, Jan-Willem van Wingerden, Michel Verhaegen:
Closed-loop subspace Predictive Control for Linear Parameter Varying systems (i) - the nominal case. ECC 2009: 2009-2014 - [c8]Balázs Kulcsár, Jianfei Dong, Michel Verhaegen:
Closed-loop subspace Predictive Control for Linear Parameter Varying systems (ii) - a supervisory and robust approach. ECC 2009: 2021-2026 - [c7]Péter Bauer, Balázs Kulcsár, József Bokor:
Discrete time minimax tracking control with disturbance estimation. ECC 2009: 2658-2663 - [c6]Tamás Péni, Balázs Kulcsár, József Bokor:
An alternative formulation of the interpolation based constrained H∞ control of discrete-time LPV systems. ECC 2009: 3118-3123 - [c5]Bálint Vanek, Balázs Kulcsár, Paolo Falcone, Gary Balas:
Yaw control via combined braking and steering. ECC 2009: 3652-3658 - 2008
- [c4]Péter Bauer, Balázs Kulcsár, Jozsef Bokor:
An exact solution for the infinite horizon LQ optimal output tracking problem. CCA 2008: 822-827 - [c3]Tamas Peni, Balázs Kulcsár, Jozsef Bokor, Michel Verhaegen:
Constrained Hinfinity control for discrete-time LPV systems using interpolation. CDC 2008: 4141-4146 - 2007
- [i1]Tamás Luspay, István Varga, Balázs Kulcsár:
Freeway Applications Based on the Macroscopic Model of Traffic Flow. ERCIM News 2007(68) (2007) - 2005
- [c2]Balázs Kulcsár, Jozsef Bokor:
Unknown Input Detection Using Receding Horizon Approach. ISIC 2005: 423-428 - 2002
- [c1]István Szászi, Balázs Kulcsár, Gary J. Balas, Jozsef Bokor:
Design of FDI filter for an aircraft control system. ACC 2002: 4232-4237
Coauthor Index
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last updated on 2024-10-07 22:20 CEST by the dblp team
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