Mihaly Petreczky
Chargé de recherche epst
Laboratoire / équipe
Publications
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"title_s":["Toward Stochastic Realization Theory for Generalized Linear Switched Systems With Inputs: Decomposition Into Stochastic and Deterministic Components and Existence and Uniqueness of Innovation Form"],
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"citationFull_s":"Zheming Wang, Raphaël M Jungers, Mihály Petreczky, Bo Chen, Li Yu. Learning stability of partially observed switched linear systems. <i>Automatica</i>, 2024, 164, pp.111643. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.automatica.2024.111643\">⟨10.1016/j.automatica.2024.111643⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-04787633v1\">⟨hal-04787633⟩</a>",
"title_s":["Learning stability of partially observed switched linear systems"],
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"title_s":["Relating the Network Graphs of State-Space Representations to Granger Causality Conditions"],
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"title_s":["PAC-Bayes Generalisation Bounds for Dynamical Systems Including Stable RNNs"],
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"title_s":["Minimal realizations of input-output behaviors by LPV state-space representations with affine dependence"],
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"citationRef_s":"<i>Systems & Control Letters</i>, 2023, 173, pp.105468",
"citationFull_s":"Martin Gonzalez, Thibault Defourneau, Hatem Hajri, Petreczky Mihaly. Realization Theory Of Recurrent Neural ODEs Using Polynomial System Embeddings. <i>Systems & Control Letters</i>, 2023, 173, pp.105468. <a target=\"_blank\" href=\"https://hal.science/hal-03872484v1\">⟨hal-03872484⟩</a>",
"title_s":["Realization Theory Of Recurrent Neural ODEs Using Polynomial System Embeddings"],
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"title_s":["LPV-ARX representations of LPV state-space models with affine dependence"],
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"citationFull_s":"Petreczky Mihaly. Realization theory of cyber-physical systems and its application to system identification and model\r\nreduction. Optimization and Control [math.OC]. Université de Lille, 2023. <a target=\"_blank\" href=\"https://hal.science/tel-04144797v1\">⟨tel-04144797⟩</a>",
"title_s":["Realization theory of cyber-physical systems and its application to system identification and model reduction","Théorie de la réalisation des systèmes cyber-physiques et son application à l'identification de système et à la réduction de modèle"],
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"title_s":["On the notion of persistence of excitation for linear switched systems"],
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"citationFull_s":"Sana Ben Abdallah, Dhafer Saidane, Mihaly Petreczky. Application of robust control for CSR formalization and stakeholders interest. <i>Computational Economics</i>, 2023, 64, pp.891-934. <a target=\"_blank\" href=\"https://dx.doi.org/10.1007/s10614-022-10286-y\">⟨10.1007/s10614-022-10286-y⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-03832613v1\">⟨hal-03832613⟩</a>",
"title_s":["Application of robust control for CSR formalization and stakeholders interest"],
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"title_s":["On minimal LPV state-space representations in innovation form: an algebraic characteriza"],
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"title_s":["Explicit construction of the minimum error variance estimator for stochastic LTI state-space systems"],
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"title_s":["On minimal LPV state-space representations in innovation form: an algebraic characterization"],
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"title_s":["Model reduction and realization theory of linear switched systems"],
"authFullName_s":["Petreczky Mihaly","Ion Victor Gosea"],
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"title_s":["Application of robust control for CSR formalization and stakeholders interest"],
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"title_s":["Model reduction of linear hybrid systems"],
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"citationFull_s":"Monika Jozsa, Mihaly Petreczky, M. Kanat Camlibel. Causality and network graph in general bilinear state-space representations. <i>IEEE Transactions on Automatic Control</i>, 2020, 65 (8), pp.3623 - 3630. <a target=\"_blank\" href=\"https://dx.doi.org/10.1109/TAC.2019.2952033\">⟨10.1109/TAC.2019.2952033⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-02398542v1\">⟨hal-02398542⟩</a>",
"title_s":["Causality and network graph in general bilinear state-space representations"],
"authFullName_s":["Monika Jozsa","Mihaly Petreczky","M. Kanat Camlibel"],
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"citationFull_s":"Petreczky Mihaly, Laurent Bako, S. Lecoeuche, K.M.D. Motchon. Minimality and identifiability of discrete‐time switched autoregressive exogenous systems. <i>International Journal of Robust and Nonlinear Control</i>, 2020, 30 (15), pp.5871-5891. <a target=\"_blank\" href=\"https://dx.doi.org/10.1002/rnc.5039\">⟨10.1002/rnc.5039⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-02931355v1\">⟨hal-02931355⟩</a>",
"title_s":["Minimality and identifiability of discrete‐time switched autoregressive exogenous systems"],
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"citationFull_s":"Vera Shalaeva, Alireza Fakhrizadeh Esfahani, Pascal Germain, Mihaly Petreczky. Improved PAC-Bayesian Bounds for Linear Regression. <i>AAAI 2020 - Thirty-Fourth AAAI Conference on Artificial Intelligence</i>, Feb 2020, New York, United States. <a target=\"_blank\" href=\"https://inria.hal.science/hal-02396556v1\">⟨hal-02396556⟩</a>",
"title_s":["Improved PAC-Bayesian Bounds for Linear Regression"],
"authFullName_s":["Vera Shalaeva","Alireza Fakhrizadeh Esfahani","Pascal Germain","Mihaly Petreczky"],
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"title_s":["Realization theory of recurrent neural networks and rational systems"],
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"citationFull_s":"Manas Mejari, Mihaly Petreczky. Consistent and computationally efficient estimation for stochastic LPV state-space models: realization based approach. <i>58th IEEE Conference on Decision and Control (CDC 2019)</i>, Dec 2019, Nice, France. <a target=\"_blank\" href=\"https://dx.doi.org/10.1109/CDC40024.2019.9030164\">⟨10.1109/CDC40024.2019.9030164⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-02398575v1\">⟨hal-02398575⟩</a>",
"title_s":["Consistent and computationally efficient estimation for stochastic LPV state-space models: realization based approach"],
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"citationFull_s":"Manas Mejari, Mihaly Petreczky. Realization and identification algorithm for stochastic LPV state-space models with exogenous inputs. <i>3rd IFAC Workshop on Linear Parameter-Varying Systems</i>, Nov 2019, Eindhoven, Netherlands. <a target=\"_blank\" href=\"https://dx.doi.org/10.1016/j.ifacol.2019.12.340\">⟨10.1016/j.ifacol.2019.12.340⟩</a>. <a target=\"_blank\" href=\"https://hal.science/hal-02398576v1\">⟨hal-02398576⟩</a>",
"title_s":["Realization and identification algorithm for stochastic LPV state-space models with exogenous inputs"],
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"title_s":["On necessary conditions of instability and design of destabilizing controls"],
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"citationRef_s":"<i>Proc. Conference on Decision and Control (CDC 2012)</i>, Dec 2012, Maui,Hawaii, USA, United States. <a target=\"_blank\" href=\"https://dx.doi.org/10.1109/CDC.2012.6426718\">⟨10.1109/CDC.2012.6426718⟩</a>",
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"title_s":["Affine LPV systems: realization theory, input-output equations and relationship with linear switched systems"],
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