
Zainteresowania naukowe
Identyfikacja systemów; sterowanie adaptacyjne; uczenie statystyczne; analiza danych; modelowanie matematyczne; metody jądrowe; zmienne instrumentalne; systemy Hammersteina i Wienera
G. Maik, G. Mzyk, Multi-stage kernel method based identification of Wiener-Hammerstein system with cyclostationary input signal, Information Sciences, vol. 713:122190, , Elsevier, 2025. view.pdf
G. Mzyk, S. Niewiadomski, Entropic metrics in feature selection for neural network-based data error detection in CMDB, International Conference of Artificial Intelligence and Soft Computing, (accepted), 2025.
W. Sopot, P. Wachel, G. Mzyk, Adversarial training in nonlinear system modeling, International Journal of Applied Mathematics and Computer Science, (accepted), 2025.
G. Maik, G. Mzyk, Dimensionality Reduction in Kernel-based Identification of Wiener System by Cyclostationary Excitations, International Journal of Electronics and Telecommunications, vol. 71(2), pp. 361-368, 2025. view.pdf
S. Niewiadomski, G. Mzyk, Optimization of purchasing plans based on forecasted demand for resources, International Journal of Electronics and Telecommunications, vol. 71(2), pp. 419-425, 2025. view.pdf
G. Mzyk, Identification of Time-Varying Non-Linear Systems with Adaptive Bootstrap-Based Tracking, Mechanical Systems and Signal Processing, vol.223:111896, Elsevier, 2024. view pdf
W. Sopot, P. Wachel, G. Mzyk, Nonlinear system modeling in the presence of adversarial attacks, 5th Polish Conference on Artificial Intelligence, 2024.
S. Niewiadomski, G. Mzyk, Optimization of Procurement Strategy …, 19th International Conference on Dependability of Computer Systems, Cham: Springer International Publishing, pp. 196-205, 2024.
G. Maik, G. Mzyk, Randomly Initiated Cyclostationary Excitations for Dimensionality Reduction in Wiener System Identification, 19th International Conference on Dependability of Computer Systems, Cham: Springer International Publishing, pp. 143-151, 2024.
G. Mzyk, G. Maik, Nonparametric Identification of Wiener System with a Subclass of Wide-Sense Cyclostationary Excitations, International Journal of Adaptive Control and Signal Processing, vol. 38, No. 1, pp. 323–341, Wiley, 2024. view pdf
S. Niewiadomski, G. Mzyk, Detecting Errors in Databases Using Statistical Learning, Journal of Data and Information Quality, ACM, 2024 (submitted).
G. Maik, G. Mzyk, P. Wachel, Exponential Excitations for Effective Identification of Wiener System, International Journal of Control, Taylor and Francis, 2023. view pdf
P. Mielcarek, G. Mzyk, Recursive Algorithm for Interaction Prediction in Hammerstein System Identification with Simulation Studies, International Journal of Modelling, Identification and Control, vol. 43, No. 2, pp. 134-144, 2023. view pdf
S. Niewiadomski, G. Mzyk, ML Support For Conformity Checks in CMDB-Like Databases, 22nd International Conference of Artificial Intelligence and Soft Computing, Cham: Springer Nature Switzerland, pp. 366-376, 2023.
G. Mzyk, Tracking Optimization in Nonparametric Identification of Time-Varying Nonlinear Systems, 21st Polish Control Conference, pp. 128-136, Springer, 2023.
G. Maik, P. Wachel, G. Mzyk, Cyclostationarity in a loop? System identification in closed-loop with periodic reference, ERNSI Workshop, Stockholm, Sweden, 2023.
P. Joshi, G. Mzyk, Nonparametric tracking for time-varying nonlinearities using the kernel method, 17th International Conference on Dependability of Computer Systems, Cham: Springer International Publishing, pp. 79-87. 2022.
G. Mzyk, Efficient Computation of the Best Controls in Complex Systems Under Global Constraints, Advances in Intelligent Systems and Computing 1389, pp. 306-315, Springer, Cham, Switzerland, 2021.
G. Mzyk, Z. Hasiewicz, P. Mielcarek, Kernel Identification of Non-Linear Systems with General Structure, Algorithms, vol. 13, 328, 2020. view pdf
G. Mzyk, P. Wachel, Wiener System Identification by Input Injection Method, International Journal of Adaptive Control and Signal Processing, vol. 34, No. 8, pp. 1-15, Wiley, 2020. view pdf
B. Kozdraś, G. Mzyk, P. Mielcarek, Identification of the Heating Process in Differential Scanning Calorimeter with the Use of Hammerstein Model, International Carpathian Control Conference, Slovakia, 2020.
G. Mzyk, M. Biegański, P. Mielcarek, Multi-Level Identification of Hammerstein-Wiener Systems, ALCOS, IFAC-PapersOnLine, 52(29), pp. 174-179, Winchester, United Kingdom, 2019. view pdf
G. Mzyk, Nonparametric system identification Matlab toolbox, 16th International Conference on Informatics in Control, Automation and Robotics ICINCO, pp. 691-698, Prague, Czech Republic, 2019.
Z. Hasiewicz, G. Mzyk, Two-Level Recursive Identification of Hammerstein System by Interaction Prediction Method, International Conference on Reliability and Statistics in Transportation and Communication, pp. 119-129, Springer, Cham.
G. Mzyk, Hybrid identification of L-N-L and N-L-N systems, American Control Conference, pp. 5626-5631, Wisconsin, Milwaukee, USA, 2018. view pdf
M. Biegański, G. Mzyk, Multistage Hammerstein–Wiener system identification with the help of binary excitation, Lecture Notes in Networks and Systems, No. 36, pp. 476-484, Springer, Cham, 2018.
G. Mzyk, Efficient identification of Hammerstein systems by two-level optimization with decomposition, 23rd International Conference on Methods and Models in Automation and Robotics, MMAR, pp. 89-92, Międzyzdroje, Poland, 2018.
G. Mzyk, P. Wachel, Kernel-based identification of Wiener-Hammerstein system, Automatica, No. 83, pp. 275-281, Elsevier, 2017. view pdf
B. Kozdraś, G. Mzyk, Identification of complex systems with the use of interconnected Hammerstein models, Procedia Engineering, vol. 178, pp. 384 – 393, Elsevier, 2017. view pdf
G. Mzyk, M. Biegański, B. Kozdraś, Multistage identification of an N-L-N Hammerstein-Wiener system, Proceedings of 22th IEEE International Conference MMAR, pp. 343-346, Międzyzdroje, Poland, 2017.
Z. Hasiewicz, P. Wachel, G. Mzyk, B. Kozdraś, Multistage identification of Wiener-Hammerstein system, Proceedings of KKA 2017 – The 19th Polish Control Conference, Advances in Intelligent Systems and Computing, vol. 577, pp. 527-535, Springer, 2017.
P. Wachel, G. Mzyk, Direct identification of the linear block in Wiener system, International Journal of Adaptive Control and Signal Processing, vol. 30, No. 1, pp. 93-105, Wiley, 2016. view pdf
B. Kozdras, G. Mzyk, Parameter Identification of interconnected nonlinear dynamic systems, Conference materials – RelStat-16, Riga, Latvia. Procedia Engineering, Elsevier, 2016.
P. Wachel, G. Mzyk, Internal signal recovering in Wiener system under nonparametric prior knowledge, 17th IFAC Symposium on System Identification, SYSID, Beijing, China, 2015.
G. Mzyk, Kernel estimation of Wiener-Hammerstein system nonlinearity, 12th Workshop on Stochastic Models, Statistics and Their Applications, Wrocław, 2015.
G. Mzyk, Combined Parametric-Nonparametric Identification of Block-Oriented Systems, Lecture Notes in Control and Information Sciences, vol. 454, Springer, 2014. Springer – link

G. Mzyk, Inverse filtering in semi-parametric identification of cascade nonlinear systems, XVIII Krajowa Konferencja Automatyki, Wrocław, 2014.
G. Mzyk, Instrumental Variables for Nonlinearity Recovering in Block-Oriented Systems Driven by Correlated Signals, International Journal of Systems Science, 2013. Taylor & Francis – link
G. Mzyk, Nonparametric Instrumental Variables for Identification of Block-Oriented Systems, International Journal of Applied Mathematics and Computer Science, vol. 23, No. 3, pp. 521-537, 2013. view pdf
Z. Hasiewicz, G. Mzyk, P. Śliwiński, P. Wachel, Model selection of Hammerstein system nonlinearity under heavy noise, Proceedings of the 11th IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, pp. 378-383, Caen, France, 2013.
Z. Hasiewicz, G. Mzyk, P. Śliwiński, P. Wachel, Mixed parametric-nonparametric identification of Hammerstein and Wiener systems – a survey, Proceedings of the 16th IFAC Symposium on System Identification, SYSID, Brussels, Belgium, 2012.
G. Mzyk, Nonparametric Recovering of Nonlinearity in Wiener-Hammerstein Systems, Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics, ICINCO, Rome, Italy, 2012.
G. Mzyk, Identification of Interconnected Systems by Instrumental Variables Method , Proceedings of the 7th International Conference on Electrical and Control Technologies, pp. 13-16, ECT, Kaunas, Lithuania, 2012.
G. Mzyk, Fast Model Order Selection of the Nonlinearity in Hammertstein Systems , Proceedings of the 13th International Carpathian Control Conference, pp. 507-510, Kosice, Slovakia, 2012.
G. Mzyk, Parametric versus nonparametric approach to Wiener systems identification, in: Block-oriented nonlinear system identification, Chapter 8, pp. 111-125, ed. F. Giri and E. W. Bai, Series: Lecture Notes in Control and Information Sciences, vol. 404, Springer, 2010.
G. Mzyk, Wiener-Hammerstein system identification with non-Gaussian input, IFAC International Workshop on Adaptation and Learning in Control and Signal Processing, Antalya, Turkey, 2010.
Z. Hasiewicz, G. Mzyk, P. Śliwiński, Quasi-parametric recovery of Hammerstein system nonlinearity by smart model selection, Lecture Notes on Artificial Intelligence and Soft Computing, ICAISC Zakopane, 2010.
G. Mzyk, Nonlinearity recovering in Hammerstein system from short measurement sequence, IEEE Signal Processing Letters, vol. 16, No. 9, pp. 762-765, September 2009. view pdf
W. Greblicki, G. Mzyk, Semiparametric approach to Hammerstein system identification, Proceedings of the 15th IFAC Symposium on System Identification, pp. 1680-1685, Saint-Malo, France, July 6-8, 2009. view pdf
Z. Hasiewicz, G. Mzyk, Hammerstein system identification by non-parametric instrumental variables, International Journal of Control, vol. 82, No. 3, pp. 440-455, March 2009. view pdf
Z. Hasiewicz, P. Śliwiński, G. Mzyk, Nonlinear system identification under various prior knowledge, IFAC World Congress, Seoul, Korea, 2008. view pdf
Z. Hasiewicz, G. Mzyk, P. Śliwiński, Semiparametric approach to system identification: a meeting at the crossroads, XVI Krajowa Konferencja Automatyki, Szczyrk 2008.
G. Mzyk, A censored sample mean approach to nonparametric identification of nonlinearities in Wiener systems, IEEE Transactions on Circuits and Systems II, vol. 54, No. 10, pp. 897-901, October 2007. view pdf
G. Mzyk, Generalized kernel regression estimate for Hammerstein system identification, International Journal of Applied Mathematics and Computer Science, vol. 17, No. 2, pp. 101-109, 2007. view pdf
G. Mzyk, Improved non-parametric kernel estimate in Hammerstein system identification, Proceedings of the 5th International Conference Apli-Mat, Slovak Academy of Sciences, Bratislava, 2007.
G. Mzyk, Improved nonparametric estimation of nonlinearities in Hammerstein systems, 10th IEEE International Conference MMAR, Szczecin 2007.
Z. Hasiewicz, G. Mzyk, Parameter identification of nonlinearities in Hammerstein systems with the help of nonparametric regression methods, 10th IEEE International Conference MMAR, Szczecin 2007.
Workshop on dynamical systems modeling and time series analysis, Udine, Italy, 2006.
Z. Hasiewicz, G. Mzyk, Nonparametric approach to identification of block-oriented systems , International Conference on Electrical and Control Technologies, Lithuania, Kaunas, 2006.
G. Mzyk, Median-based identification of nonlinear systems, Proceedings of the 4th International Conference Apli-Mat, Slovak Academy of Sciences, Bratislava, 2006.
B. Łysakowska, G. Mzyk, Komputerowa symulacja układów automatycznej regulacji w środowisku MATLAB/Simulink Komputerowa_symulacja_UAR.pdf

G. Mzyk, Nieparametryczne metody identyfikacji przy różnym stopniu informacji wstępnej, rozdział do Księgi Jubileuszowej Instytutu Cybernetyki Technicznej, WNT Wrocław 2005.
Z. Hasiewicz, G. Mzyk, Nieparametryczne metody estymacji w identyfikacji parametrów systemów nieliniowych, XV Krajowa Konferencja Automatyki, Warszawa 2005.
Z. Hasiewicz, G. Mzyk, Combined parametric-nonparametric identification of Hammerstein systems, IEEE Transactions on Automatic Control, vol.49, No. 8, pp. 1370-1375, August 2004. view pdf
G. Mzyk, Nonparametric identification of Wiener systems – a median based approach, 10th IEEE International Conference MMAR, Międzyzdroje 2004.
G. Mzyk, Kernel instrumental variables for Hammerstein system identification, 10th IEEE International Conference MMAR, Międzyzdroje 2004.
Z. Hasiewicz, G. Mzyk, Two-stage identification of Hammerstein systems, 9th IEEE International Conference MMAR, Międzyzdroje 2003.
G. Mzyk, Application of empirical median for nonlinear systems identification, 9th IEEE International Conference MMAR, Międzyzdroje 2003.
G. Mzyk, Kernel-based instrumental variables for nonlinear systems identification, 9th IEEE International Conference MMAR, Międzyzdroje 2003.
Z. Hasiewicz, G. Mzyk, Parametryczno-nieparametryczna identyfikacja systemów nieliniowych o strukturze blokowej, XIV Krajowa Konferencja Automatyki, Zielona Góra 2002.
G. Mzyk, Parametryczna identyfikacja systemów o złożonej strukturze (Rozprawa doktorska)
G. Mzyk, Instrumental variables in Wiener system identification, 8th IEEE International Conference MMAR, Szczecin 2002.
G. Mzyk, Zastosowanie metody zmiennych instrumentalnych do identyfikacji systemów Hammersteina-Wienera, Miesięcznik: Pomiary Automatyka Kontrola, Nr 7/8 2001. view pdf
G. Mzyk, Identification of nonlinear systems with correlated input, 7th IEEE International Conference MMAR, Międzyzdroje 2001,
G. Mzyk, Two stage identification of a class of NARMAX systems, 2nd International Conference on Signals and Electronic Systems, Łódź 2001.
G. Mzyk, Application of instrumental variable method to identification of Hammerstein-Wiener systems, 6th International Conference MMAR, Międzyzdroje 2000.
G. Mzyk, Hammerstein system identification by a semi-parametric method, International Conference on Signals and Electronic Systems, Ustroń 2000.
G. Mzyk, Zastosowanie metody zmiennych pomocniczych do identyfikacji systemów o złożonej strukturze, XIII Krajowa Konferencja Automatyki, Opole 1999.
Entropic Metrics in Feature Selection for Neural Network-Based Data Error Detection in CMDB – supplementary materials: CMDB-1.zip
Materiały edukacyjne: filmy.zip
Wykład „Dni Otwarte 2026” pod_decyzji