Mihály Petreczky

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 59

Top Topics

Granger Causality

Partially Observed

Top Venues

IEEE Trans. Autom. Control.

Publications

Deividas Eringis, John Leth, Zheng-Hua Tan, Rafael Wisniewski, Mihály Petreczky
PAC-Bayes Generalisation Bounds for Dynamical Systems including Stable RNNs. AAAI (2024)
Dániel Rácz, Mihály Petreczky, Bálint Daróczy
Length independent generalization bounds for deep SSM architectures with stability constraints. CoRR (2024)
Dániel Rácz, Martin Gonzalez, Mihály Petreczky, András Benczúr, Bálint Daróczy
A finite-sample generalization bound for stable LPV systems. CoRR (2024)
Zheming Wang, Raphaël M. Jungers, Mihály Petreczky, Bo Chen, Li Yu
Learning stability of partially observed switched linear systems. Autom. 164 (2024)
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 (2024)
Dániel Rácz, Mihály Petreczky, András Csertán, Bálint Daróczy
Optimization dependent generalization bound for ReLU networks based on sensitivity in the tangent bundle. CoRR (2023)
Domokos M. Kelen, Mihály Petreczky, Péter Kersch, András A. Benczúr
Theoretical Evaluation of Asymmetric Shapley Values for Root-Cause Analysis. ICDM (2023)
Mihály Petreczky, Roland Tóth, Guillaume Mercère
LPV-ARX representations of LPV state-space models with affine dependence. Syst. Control. Lett. 173 (2023)
Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihály Petreczky
PAC-Bayes Generalisation Bounds for Dynamical Systems Including Stable RNNs. CoRR (2023)
Pauline Kergus, Ion Victor Gosea, Mihály Petreczky
Loewner functions for bilinear systems. CoRR (2023)
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 (2023)
Domokos M. Kelen, Mihály Petreczky, Péter Kersch, András A. Benczúr
Theoretical Evaluation of Asymmetric Shapley Values for Root-Cause Analysis. CoRR (2023)
Zheming Wang, Raphaël M. Jungers, Mihály Petreczky, Bo Chen, Li Yu
Learning stability of partially observed switched linear systems. CoRR (2023)
Martin Gonzalez, Thibault Defourneau, Hatem Hajri, Mihály Petreczky
Realization Theory of Recurrent Neural ODEs using Polynomial System Embeddings. Syst. Control. Lett. 173 (2023)
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 (2023)
Dániel Rácz, Mihály Petreczky, Bálint Daróczy
PAC bounds of continuous Linear Parameter-Varying systems related to neural ODEs. CoRR (2023)
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 (2023)
Martin Gonzalez, Thibault Defourneau, Hatem Hajri, Mihály Petreczky
Realization Theory Of Recurrent Neural ODEs Using Polynomial System Embeddings. CoRR (2022)
Elie Rouphael, Mihály Petreczky, Lotfi Belkoura
On minimal LPV state-space representations in innovation form: an algebraic characterization. CDC (2022)
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 (2022)
Mónika Józsa, Mihály Petreczky, M. Kanat Camlibel
Relating the Network Graphs of State-Space Representations to Granger Causality Conditions. HANDY (2022)
Martin Gonzalez, Hatem Hajri, Loic Cantat, Mihály Petreczky
Noisy Learning for Neural ODEs Acts as a Robustness Locus Widening. CoRR (2022)
Ion Victor Gosea, Mihály Petreczky, Athanasios C. Antoulas
Reduced-order modeling of LPV systems in the Loewner framework. CDC (2021)
Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Alireza Fakhrizadeh Esfahani, Mihály Petreczky
PAC-Bayesian theory for stochastic LTI systems. CDC (2021)
Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Alireza Fakhrizadeh Esfahani, Mihály Petreczky
PAC-Bayesian theory for stochastic LTI systems. CoRR (2021)
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 (2021)
Ion Victor Gosea, Mihály Petreczky, Athanasios C. Antoulas
Reduced-order modeling of LPV systems in the Loewner framework. CoRR (2021)
Mihály Petreczky, John Leth, Rasmus Pedersen, Rafael Wisniewski
Model reduction for linear switched systems with autonomous switching. ACC (2021)
Deividas Eringis, John Leth, Zheng-Hua Tan, Rafal Wisniewski, Mihály Petreczky
Optimal Prediction of Unmeasured Output from Measurable Outputs In LTI Systems. CoRR (2021)
Vera Shalaeva, Alireza Fakhrizadeh Esfahani, Pascal Germain, Mihály Petreczky
Improved PAC-Bayesian Bounds for Linear Regression. AAAI (2020)
Mónika Józsa, Mihály Petreczky, M. Kanat Camlibel
Causality and Network Graph in General Bilinear State-Space Representations. IEEE Trans. Autom. Control. 65 (8) (2020)
Ion Victor Gosea, Mihály Petreczky, John Leth, Rafael Wisniewski, Athanasios C. Antoulas
Model reduction of linear hybrid systems. CDC (2020)
Mónika Józsa, Mihály Petreczky, M. Kanat Camlibel
Relationship Between Granger Noncausality and Network Graph of State-Space Representations. IEEE Trans. Autom. Control. 64 (3) (2019)
Vera Shalaeva, Alireza Fakhrizadeh Esfahani, Pascal Germain, Mihály Petreczky
Improved PAC-Bayesian Bounds for Linear Regression. CoRR (2019)
Thibault Defourneau, Mihály Petreczky
Realization theory of recurrent neural networks and rational systems. CDC (2019)
Manas Mejari, Mihály Petreczky
Realization and identification algorithm for stochastic LPV state-space models with exogenous inputs. CoRR (2019)
Manas Mejari, Mihály Petreczky
Consistent and computationally efficient estimation for stochastic LPV state-space models: realization based approach. CDC (2019)
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)
Pepijn B. Cox, Roland Tóth, Mihály Petreczky
Towards Efficient Maximum Likelihood Estimation of LPV-SS Models. CoRR (2018)
Ion Victor Gosea, Mihály Petreczky, Athanasios C. Antoulas, Christophe Fiter
Balanced truncation for linear switched systems. Adv. Comput. Math. 44 (6) (2018)
Pepijn Bastiaan Cox, Roland Tóth, Mihály Petreczky
Towards efficient maximum likelihood estimation of LPV-SS models. Autom. 97 (2018)
Mihály Petreczky, René Vidal
Realization Theory for a Class of Stochastic Bilinear Systems. IEEE Trans. Autom. Control. 63 (1) (2018)
Mihály Petreczky, Roland Tóth, Guillaume Mercère
Realization Theory for LPV State-Space Representations With Affine Dependence. IEEE Trans. Autom. Control. 62 (9) (2017)
Ion Victor Gosea, Mihály Petreczky, Athanasios C. Antoulas, Christophe Fiter
Balanced truncation for linear switched systems. CoRR (2017)
Mert Bastug, Mihály Petreczky, Laurentiu Hetel
Minimality of aperiodic sampled data systems. ACC (2017)
Mihály Petreczky, Sergiy Zhuk
Solutions of differential-algebraic equations as outputs of LTI systems: Application to LQ control problems. Autom. 84 (2017)
Lucien Etienne, Laurentiu Hetel, Denis V. Efimov, Mihály Petreczky
Observer synthesis under time-varying sampling for Lipschitz nonlinear systems. Autom. 85 (2017)
Sergiy Zhuk, Mihály Petreczky
Minimax Observers for Linear Differential-Algebraic Equations. IEEE Trans. Autom. Control. 62 (8) (2017)
Ziad Alkhoury, Mihály Petreczky, Guillaume Mercère
Identifiability of affine linear parameter-varying models. Autom. 80 (2017)
Mert Bastug, Laurentiu Hetel, Mihály Petreczky
Model Reduction for Aperiodically Sampled Data Systems. CoRR (2017)
Ziad Alkhoury, Mihály Petreczky, Guillaume Mercère
Comparing global input-output behavior of frozen-equivalent LPV state-space models. CoRR (2017)
Mónika Józsa, Mihály Petreczky, M. Kanat Camlibel
Causality based graph structure of stochastic linear state-space representations. CDC (2017)
Jana Nemcová, Mihály Petreczky, Jan H. van Schuppen
Rational observers of rational systems. CDC (2016)
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 (2016)
Ziad Alkhoury, Mihály Petreczky, Guillaume Mercère
Structural properties of LPV to LFR transformation: minimality, input-output behavior and identifiability. CoRR (2016)
Ziad Alkhoury, Mihály Petreczky, Guillaume Mercère
Structural properties of affine LPV to LFR transformation: Minimality, input-output behavior and identifiability. CDC (2016)
Mert Bastug, Mihály Petreczky, Rafael Wisniewski, John Leth
Reachability and observability reduction for linear switched systems with constrained switching. Autom. 74 (2016)
Mert Bastug, Mihály Petreczky, Rafael Wisniewski, John Leth
Model Reduction by Nice Selections for Linear Switched Systems. IEEE Trans. Autom. Control. 61 (11) (2016)
Jana Nemcová, Mihály Petreczky, Jan H. van Schuppen
Observability reduction algorithm for rational systems. CDC (2016)
Fayssal Arichi, Mihály Petreczky, Mohamed Djemaï, Brahim Cherki
Observability and Observer Design of Partially Observed Petri Nets. ADHS (2015)
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)
Mert Bastug, Mihály Petreczky, Roland Tóth, Rafael Wisniewski, John Leth, Denis V. Efimov
Moment Matching Based Model Reduction for LPV State-Space Models. CoRR (2015)
Mert Bastug, Mihály Petreczky, Rafael Wisniewski, John Leth
Model Reduction by Moment Matching for Linear Switched Systems. CoRR (2014)
Mert Bastug, Mihály Petreczky, Rafael Wisniewski, John Leth
Model reduction by moment matching for linear switched systems. ACC (2014)
Mert Bastug, Mihály Petreczky, Rafael Wisniewski, John Leth
Model reduction of linear switched systems by restricting discrete dynamics. CDC (2014)
Mert Bastug, Mihály Petreczky, Rafael Wisniewski, John Leth
Model Reduction of Linear Switched Systems by Restricting Discrete Dynamics. CoRR (2014)
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) (2014)
Denis V. Efimov, Wilfrid Perruquetti, Mihály Petreczky
On necessary conditions of instability and design of destabilizing controls. CDC (2014)
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)
Jana Nemcová, Mihály Petreczky, Jan H. van Schuppen
Realization Theory of Nash Systems. SIAM J. Control. Optim. 51 (5) (2013)
Jana Nemcová, Mihály Petreczky
Local Nash Realizations. MMAR (2013)
Mihály Petreczky, Laurent Bako, Jan H. van Schuppen
Realization theory of discrete-time linear switched systems. Autom. 49 (11) (2013)
Sergiy Zhuk, Mihály Petreczky
Infinite horizon control and minimax observer design for linear DAEs. CDC (2013)
Mihály Petreczky, Guillaume Mercère
Affine LPV systems: Realization theory, input-output equations and relationship with linear switched systems. CDC (2012)
Mihály Petreczky, Rafael Wisniewski, John Leth
Theoretical analysis of balanced truncation for linear switched systems. ADHS (2012)
Mihály Petreczky, Laurent Bako
On the notion of persistence of excitation for linear switched systems CoRR (2011)
Mihály Petreczky, Laurent Bako
On the notion of persistence of excitation for linear switched systems. CDC/ECC (2011)
Mihály Petreczky, Laurent Bako, Jan H. van Schuppen
Realization theory of discrete-time linear switched systems CoRR (2011)
Ronald L. Westra, Mihály Petreczky, Ralf L. M. Peeters
Identification of Piecewise Linear Models of Complex Dynamical Systems CoRR (2011)
Mihály Petreczky, Jan H. van Schuppen
Partial-realization theory for linear switched systems - A formal power series approach. Autom. 47 (10) (2011)
Mihály Petreczky, Jan H. van Schuppen
Generating series for bilinear hybrid systems. Syst. Control. Lett. 59 (3-4) (2010)
Mihály Petreczky, Laurent Bako, Jan H. van Schuppen
Identifiability of discrete-time linear switched systems. HSCC (2010)
Mihály Petreczky, Jan H. van Schuppen
Span-reachability and observability of bilinear hybrid systems. Autom. 46 (3) (2010)
Mihály Petreczky, Jan H. van Schuppen
Realization Theory for Linear Hybrid Systems. IEEE Trans. Autom. Control. 55 (10) (2010)
Ehsan Elhamifar, Mihály Petreczky, René Vidal
Rank tests for the observability of discrete-time jump linear systems with inputs. ACC (2009)
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)
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)
Jana Nemcová, Mihály Petreczky, Jan H. van Schuppen
Realization theory of Nash systems. CDC (2009)
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)
Mihály Petreczky, René Vidal
Realization Theory for Discrete-Time Semi-algebraic Hybrid Systems. HSCC (2008)
Mihály Petreczky
Realization theory for linear switched systems: Formal power series approach. Syst. Control. Lett. 56 (9-10) (2007)
Mihály Petreczky, René Vidal
Metrics and Topology for Nonlinear and Hybrid Systems. HSCC (2007)
Mihály Petreczky, René Vidal
Realization theory of stochastic jump-Markov linear systems. CDC (2007)
Mihály Petreczky
Reachability of linear switched systems: Differential geometric approach. Syst. Control. Lett. 55 (2) (2006)
Mihály Petreczky
Realization Theory For Bilinear Switched Systems: Formal Power Series Approach. CDC/ECC (2005)