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ORCIDMihály Petreczky
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2020 – today
- 2024
[j29]Zheming Wang, Raphaël M. Jungers, Mihály Petreczky, Bo Chen, Li Yu:
Learning stability of partially observed switched linear systems. Autom. 164: 111643 (2024)- [j28]Elie Rouphael
, Manas Mejari, Mihály Petreczky, Lotfi Belkoura:
Toward Stochastic Realization Theory for Generalized Linear Switched Systems With Inputs: Decomposition Into Stochastic and Deterministic Components and Existence and Uniqueness of Innovation Form. IEEE Control. Syst. Lett. 8: 1841-1846 (2024) - [c38]Deividas Eringis, John Leth, Zheng-Hua Tan, Rafael Wisniewski, Mihály Petreczky:
PAC-Bayes Generalisation Bounds for Dynamical Systems including Stable RNNs. AAAI 2024: 11901-11909 - [c37]Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihály Petreczky:
PAC-Bayesian Error Bound, via Rényi Divergence, for a Class of Linear Time-Invariant State-Space Models. ICML 2024 - [i29]Dániel Rácz, Martin Gonzalez, Mihály Petreczky, András Benczúr, Bálint Daróczy:
A finite-sample generalization bound for stable LPV systems. CoRR abs/2405.10054 (2024) - [i28]Dániel Rácz, Mihály Petreczky, Bálint Daróczy:
Length independent generalization bounds for deep SSM architectures with stability constraints. CoRR abs/2405.20278 (2024) - 2023
- [j27]Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihály Petreczky:
Explicit construction of the minimum error variance estimator for stochastic LTI-ss systems. Autom. 153: 111018 (2023) - [j26]Mihály Petreczky, Roland Tóth, Guillaume Mercère:
Minimal Realizations of Input-Output Behaviors by LPV State-Space Representations With Affine Dependence. IEEE Control. Syst. Lett. 7: 2952-2957 (2023) - [j25]Mihály Petreczky, Roland Tóth, Guillaume Mercère:
LPV-ARX representations of LPV state-space models with affine dependence. Syst. Control. Lett. 173: 105459 (2023) - [j24]Martin Gonzalez, Thibault Defourneau, Hatem Hajri, Mihály Petreczky:
Realization Theory of Recurrent Neural ODEs using Polynomial System Embeddings. Syst. Control. Lett. 173: 105468 (2023) - [c36]Domokos M. Kelen, Mihály Petreczky, Péter Kersch, András A. Benczúr:
Theoretical Evaluation of Asymmetric Shapley Values for Root-Cause Analysis. ICDM 2023: 210-219 - [i27]Zheming Wang, Raphaël M. Jungers, Mihály Petreczky, Bo Chen, Li Yu:
Learning stability of partially observed switched linear systems. CoRR abs/2301.08046 (2023) - [i26]Deividas Eringis, John Leth, Zheng-Hua Tan, Rafael Wisniewski, Mihály Petreczky:
PAC-Bayesian bounds for learning LTI-ss systems with input from empirical loss. CoRR abs/2303.16816 (2023) - [i25]Dániel Rácz, Mihály Petreczky, Bálint Daróczy:
PAC bounds of continuous Linear Parameter-Varying systems related to neural ODEs. CoRR abs/2307.03630 (2023) - [i24]Domokos M. Kelen, Mihály Petreczky, Péter Kersch, András A. Benczúr:
Theoretical Evaluation of Asymmetric Shapley Values for Root-Cause Analysis. CoRR abs/2310.09961 (2023) - [i23]Dániel Rácz, Mihály Petreczky, András Csertán, Bálint Daróczy:
Optimization dependent generalization bound for ReLU networks based on sensitivity in the tangent bundle. CoRR abs/2310.17378 (2023) - [i22]Pauline Kergus, Ion Victor Gosea, Mihály Petreczky:
Loewner functions for bilinear systems. CoRR abs/2311.06125 (2023) - [i21]Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihály Petreczky:
PAC-Bayes Generalisation Bounds for Dynamical Systems Including Stable RNNs. CoRR abs/2312.09793 (2023) - 2022
- [c35]Elie Rouphael, Mihály Petreczky, Lotfi Belkoura:
On minimal LPV state-space representations in innovation form: an algebraic characterization. CDC 2022: 3281-3288 - [c34]Mónika Józsa, Mihály Petreczky, M. Kanat Camlibel:
Relating the Network Graphs of State-Space Representations to Granger Causality Conditions. HANDY 2022: 61-90 - [i20]Martin Gonzalez, Thibault Defourneau, Hatem Hajri, Mihály Petreczky:
Realization Theory Of Recurrent Neural ODEs Using Polynomial System Embeddings. CoRR abs/2205.11989 (2022) - [i19]Martin Gonzalez, Hatem Hajri, Loic Cantat, Mihály Petreczky:
Noisy Learning for Neural ODEs Acts as a Robustness Locus Widening. CoRR abs/2206.08237 (2022) - [i18]Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihály Petreczky:
PAC-Bayesian-Like Error Bound for a Class of Linear Time-Invariant Stochastic State-Space Models. CoRR abs/2212.14838 (2022) - 2021
- [c33]Mihály Petreczky, John Leth, Rasmus Pedersen, Rafael Wisniewski:
Model reduction for linear switched systems with autonomous switching. ACC 2021: 4465-4471 - [c32]Ion Victor Gosea, Mihály Petreczky, Athanasios C. Antoulas:
Reduced-order modeling of LPV systems in the Loewner framework. CDC 2021: 3299-3305 - [c31]Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Alireza Fakhrizadeh Esfahani, Mihály Petreczky:
PAC-Bayesian theory for stochastic LTI systems. CDC 2021: 6626-6633 - [i17]Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Alireza Fakhrizadeh Esfahani, Mihály Petreczky:
PAC-Bayesian theory for stochastic LTI systems. CoRR abs/2103.12866 (2021) - [i16]Hossam S. Abbas, Roland Tóth, Mihály Petreczky, Nader Meskin, Javad Mohammadpour Velni, Patrick J. W. Koelewijn:
LPV Modeling of Nonlinear Systems: A Multi-Path Feedback Linearization Approach. CoRR abs/2103.14622 (2021) - [i15]Ion Victor Gosea, Mihály Petreczky, Athanasios C. Antoulas:
Reduced-order modeling of LPV systems in the Loewner framework. CoRR abs/2104.10767 (2021) - [i14]Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihály Petreczky:
Optimal Prediction of Unmeasured Output from Measurable Outputs In LTI Systems. CoRR abs/2109.02384 (2021) - 2020
- [j23]Mónika Józsa, Mihály Petreczky, M. Kanat Camlibel:
Causality and Network Graph in General Bilinear State-Space Representations. IEEE Trans. Autom. Control. 65(8): 3623-3630 (2020) - [c30]Vera Shalaeva, Alireza Fakhrizadeh Esfahani, Pascal Germain, Mihály Petreczky:
Improved PAC-Bayesian Bounds for Linear Regression. AAAI 2020: 5660-5667 - [c29]Ion Victor Gosea, Mihály Petreczky, John Leth, Rafael Wisniewski, Athanasios C. Antoulas:
Model reduction of linear hybrid systems. CDC 2020: 110-117
2010 – 2019
- 2019
- [j22]Mónika Józsa, Mihály Petreczky, M. Kanat Camlibel:
Relationship Between Granger Noncausality and Network Graph of State-Space Representations. IEEE Trans. Autom. Control. 64(3): 912-927 (2019) - [c28]Manas Mejari, Mihály Petreczky:
Consistent and computationally efficient estimation for stochastic LPV state-space models: realization based approach. CDC 2019: 3805-3810 - [c27]Thibault Defourneau, Mihály Petreczky:
Realization theory of recurrent neural networks and rational systems. CDC 2019: 8048-8053 - [i13]Manas Mejari, Mihály Petreczky:
Realization and identification algorithm for stochastic LPV state-space models with exogenous inputs. CoRR abs/1905.10113 (2019) - [i12]Vera Shalaeva, Alireza Fakhrizadeh Esfahani, Pascal Germain, Mihály Petreczky:
Improved PAC-Bayesian Bounds for Linear Regression. CoRR abs/1912.03036 (2019) - 2018
- [j21]Ion Victor Gosea, Mihály Petreczky, Athanasios C. Antoulas, Christophe Fiter:
Balanced truncation for linear switched systems. Adv. Comput. Math. 44(6): 1845-1886 (2018) - [j20]Pepijn Bastiaan Cox, Roland Tóth, Mihály Petreczky:
Towards efficient maximum likelihood estimation of LPV-SS models. Autom. 97: 392-403 (2018) - [j19]Ion Victor Gosea, Mihály Petreczky, Athanasios C. Antoulas:
Data-Driven Model Order Reduction of Linear Switched Systems in the Loewner Framework. SIAM J. Sci. Comput. 40(2) (2018) - [j18]Mihály Petreczky, René Vidal:
Realization Theory for a Class of Stochastic Bilinear Systems. IEEE Trans. Autom. Control. 63(1): 69-84 (2018) - [i11]Pepijn B. Cox, Roland Tóth, Mihály Petreczky:
Towards Efficient Maximum Likelihood Estimation of LPV-SS Models. CoRR abs/1808.01633 (2018) - 2017
- [j17]Ziad Alkhoury, Mihály Petreczky, Guillaume Mercère:
Identifiability of affine linear parameter-varying models. Autom. 80: 62-74 (2017) - [j16]Mihály Petreczky, Sergiy Zhuk:
Solutions of differential-algebraic equations as outputs of LTI systems: Application to LQ control problems. Autom. 84: 166-173 (2017) - [j15]Lucien Etienne, Laurentiu Hetel, Denis V. Efimov, Mihály Petreczky:
Observer synthesis under time-varying sampling for Lipschitz nonlinear systems. Autom. 85: 433-440 (2017) - [j14]Sergiy Zhuk, Mihály Petreczky:
Minimax Observers for Linear Differential-Algebraic Equations. IEEE Trans. Autom. Control. 62(8): 4101-4108 (2017) - [j13]Mihály Petreczky, Roland Tóth, Guillaume Mercère:
Realization Theory for LPV State-Space Representations With Affine Dependence. IEEE Trans. Autom. Control. 62(9): 4667-4674 (2017) - [c26]Mert Bastug, Mihály Petreczky, Laurentiu Hetel:
Minimality of aperiodic sampled data systems. ACC 2017: 5750-5755 - [c25]Mónika Józsa, Mihály Petreczky, M. Kanat Camlibel:
Causality based graph structure of stochastic linear state-space representations. CDC 2017: 2442-2447 - [i10]Mert Bastug, Laurentiu Hetel, Mihály Petreczky:
Model Reduction for Aperiodically Sampled Data Systems. CoRR abs/1703.01990 (2017) - [i9]Ziad Alkhoury, Mihály Petreczky, Guillaume Mercère:
Comparing global input-output behavior of frozen-equivalent LPV state-space models. CoRR abs/1703.03679 (2017) - [i8]Ion Victor Gosea, Mihály Petreczky, Athanasios C. Antoulas, Christophe Fiter:
Balanced truncation for linear switched systems. CoRR abs/1712.02158 (2017) - 2016
- [j12]Hassan Omran, Laurentiu Hetel, Mihály Petreczky, Jean-Pierre Richard, Françoise Lamnabhi-Lagarrigue:
Stability analysis of some classes of input-affine nonlinear systems with aperiodic sampled-data control. Autom. 70: 266-274 (2016) - [j11]Mert Bastug, Mihály Petreczky, Rafael Wisniewski, John Leth:
Reachability and observability reduction for linear switched systems with constrained switching. Autom. 74: 162-170 (2016) - [j10]Mert Bastug, Mihály Petreczky, Rafael Wisniewski, John Leth:
Model Reduction by Nice Selections for Linear Switched Systems. IEEE Trans. Autom. Control. 61(11): 3422-3437 (2016) - [c24]Ziad Alkhoury, Mihály Petreczky, Guillaume Mercère:
Structural properties of affine LPV to LFR transformation: Minimality, input-output behavior and identifiability. CDC 2016: 3781-3786 - [c23]Jana Nemcová, Mihály Petreczky, Jan H. van Schuppen:
Observability reduction algorithm for rational systems. CDC 2016: 5738-5743 - [c22]Jana Nemcová, Mihály Petreczky, Jan H. van Schuppen:
Rational observers of rational systems. CDC 2016: 6252-6257 - [i7]Ziad Alkhoury, Mihály Petreczky, Guillaume Mercère:
Structural properties of LPV to LFR transformation: minimality, input-output behavior and identifiability. CoRR abs/1608.07060 (2016) - 2015
- [c21]Fayssal Arichi, Mihály Petreczky, Mohamed Djemaï, Brahim Cherki:
Observability and Observer Design of Partially Observed Petri Nets. ADHS 2015: 27-32 - [c20]Mert Bastug, Mihály Petreczky, Roland Tóth, Rafael Wisniewski, John Leth, Denis V. Efimov:
Moment matching based model reduction for LPV state-space models. CDC 2015: 5334-5339 - [i6]Mert Bastug, Mihály Petreczky, Roland Tóth, Rafael Wisniewski, John Leth, Denis V. Efimov:
Moment Matching Based Model Reduction for LPV State-Space Models. CoRR abs/1508.03446 (2015) - 2014
- [j9]Rolf J. M. Theunissen, Mihály Petreczky, Ramon R. H. Schiffelers, Dirk A. van Beek, Jacobus E. Rooda:
Application of Supervisory Control Synthesis to a Patient Support Table of a Magnetic Resonance Imaging Scanner. IEEE Trans Autom. Sci. Eng. 11(1): 20-32 (2014) - [c19]Mert Bastug, Mihály Petreczky, Rafael Wisniewski, John Leth:
Model reduction by moment matching for linear switched systems. ACC 2014: 3942-3947 - [c18]Denis V. Efimov, Wilfrid Perruquetti, Mihály Petreczky:
On necessary conditions of instability and design of destabilizing controls. CDC 2014: 3915-3917 - [c17]Mert Bastug, Mihály Petreczky, Rafael Wisniewski, John Leth:
Model reduction of linear switched systems by restricting discrete dynamics. CDC 2014: 4422-4427 - [c16]Klaudia Horváth, Mihály Petreczky, Lala H. Rajaoarisoa, Eric Duviella, Karine Chuquet:
MPC control of water level in a navigation canal - The Cuinchy-Fontinettes case study. ECC 2014: 1337-1342 - [i5]Mert Bastug, Mihály Petreczky, Rafael Wisniewski, John Leth:
Model Reduction by Moment Matching for Linear Switched Systems. CoRR abs/1403.1734 (2014) - [i4]Mert Bastug, Mihály Petreczky, Rafael Wisniewski, John Leth:
Model Reduction of Linear Switched Systems by Restricting Discrete Dynamics. CoRR abs/1409.1444 (2014) - 2013
- [j8]Mihály Petreczky, Laurent Bako, Jan H. van Schuppen:
Realization theory of discrete-time linear switched systems. Autom. 49(11): 3337-3344 (2013) - [j7]Jana Nemcová, Mihály Petreczky, Jan H. van Schuppen:
Realization Theory of Nash Systems. SIAM J. Control. Optim. 51(5): 3386-3414 (2013) - [c15]Sergiy Zhuk, Mihály Petreczky:
Infinite horizon control and minimax observer design for linear DAEs. CDC 2013: 7004-7009 - [c14]Jana Nemcová, Mihály Petreczky:
Local Nash Realizations. MMAR 2013: 276-281 - 2012
- [c13]Mihály Petreczky, Rafael Wisniewski, John Leth:
Theoretical analysis of balanced truncation for linear switched systems. ADHS 2012: 240-247 - [c12]Mihály Petreczky, Guillaume Mercère:
Affine LPV systems: Realization theory, input-output equations and relationship with linear switched systems. CDC 2012: 4511-4516 - 2011
- [j6]Mihály Petreczky, Jan H. van Schuppen:
Partial-realization theory for linear switched systems - A formal power series approach. Autom. 47(10): 2177-2184 (2011) - [c11]Mihály Petreczky, Laurent Bako:
On the notion of persistence of excitation for linear switched systems. CDC/ECC 2011: 1840-1847 - [i3]Mihály Petreczky, Laurent Bako, Jan H. van Schuppen:
Realization theory of discrete-time linear switched systems. CoRR abs/1103.1343 (2011) - [i2]Mihály Petreczky, Laurent Bako:
On the notion of persistence of excitation for linear switched systems. CoRR abs/1103.1349 (2011) - [i1]Ronald L. Westra, Mihály Petreczky, Ralf L. M. Peeters:
Identification of Piecewise Linear Models of Complex Dynamical Systems. CoRR abs/1103.4756 (2011) - 2010
- [j5]Mihály Petreczky, Jan H. van Schuppen:
Span-reachability and observability of bilinear hybrid systems. Autom. 46(3): 501-509 (2010) - [j4]Mihály Petreczky, Jan H. van Schuppen:
Generating series for bilinear hybrid systems. Syst. Control. Lett. 59(3-4): 218-225 (2010) - [j3]Mihály Petreczky, Jan H. van Schuppen:
Realization Theory for Linear Hybrid Systems. IEEE Trans. Autom. Control. 55(10): 2282-2297 (2010) - [c10]Mihály Petreczky, Laurent Bako, Jan H. van Schuppen:
Identifiability of discrete-time linear switched systems. HSCC 2010: 141-150
2000 – 2009
- 2009
- [c9]Pieter J. Collins, Luc C. G. J. M. Habets, Mihály Petreczky, Jan H. van Schuppen:
Control of Piecewise-Affine Hybrid Systems - Extended abstract. ADHS 2009: 234-237 - [c8]Mihály Petreczky, Pieter Collins, Dirk A. van Beek, Jan H. van Schuppen, Jacobus E. Rooda:
Sampled-data control of hybrid systems with discrete inputs and outputs. ADHS 2009: 334-339 - [c7]Ehsan Elhamifar, Mihály Petreczky, René Vidal:
Rank tests for the observability of discrete-time jump linear systems with inputs. ACC 2009: 3025-3032 - [c6]Jana Nemcová, Mihály Petreczky, Jan H. van Schuppen:
Realization theory of Nash systems. CDC 2009: 5935-5940 - [c5]Mihály Petreczky, Rolf J. M. Theunissen, Rong Su, D. A. van Beek, Jan H. van Schuppen, Jacobus E. Rooda:
Control of input/output discrete-event systems. ECC 2009: 1967-1972 - 2008
- [c4]Mihály Petreczky, René Vidal:
Realization Theory for Discrete-Time Semi-algebraic Hybrid Systems. HSCC 2008: 386-400 - 2007
- [j2]Mihály Petreczky:
Realization theory for linear switched systems: Formal power series approach. Syst. Control. Lett. 56(9-10): 588-595 (2007) - [c3]Mihály Petreczky, René Vidal:
Realization theory of stochastic jump-Markov linear systems. CDC 2007: 4668-4674 - [c2]Mihály Petreczky, René Vidal:
Metrics and Topology for Nonlinear and Hybrid Systems. HSCC 2007: 459-472 - 2006
- [j1]Mihály Petreczky:
Reachability of linear switched systems: Differential geometric approach. Syst. Control. Lett. 55(2): 112-118 (2006) - 2005
- [c1]Mihály Petreczky:
Realization Theory For Bilinear Switched Systems: Formal Power Series Approach. CDC/ECC 2005: 690-695
Coauthor Index
Rafael Wisniewski
aka: Rafal Wisniewski
aka: Rafal Wisniewski
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