Email: grzegorz.mzyk@pwr.edu.pl

Jednostka: Wydział Informatyki i Telekomunikacji » Katedra Automatyki, Mechatroniki i Systemów Sterowania

ul. Z. Janiszewskiego 11/17, Wrocław
bud. C-3, pok. 218
tel. 71 320 3277

Konsultacje

• informacja w systemie USOS-WEB

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Zainteresowania naukowe

• Identyfikacja systemów; rozpoznawanie obrazów; teoria sterowania.

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Najważniejsze publikacje z ostatnich lat

2023

• 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, Wiley, 2023.
• G. Maik, G. Mzyk, P. Wachel, Exponential Excitations for Effective Identification of Wiener System, International Journal of Control, Taylor and Francis, 2023.
• 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.

2020

• 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.

2017

• Mzyk G., Wachel P., Kernel-based identification of Wiener-Hammerstein system, Automatica, No. 83, pp. 275-281, Elsevier, 2017.

2016

• Wachel P., Mzyk G., 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.

2015

• Mzyk G., Instrumental Variables for Nonlinearity Recovering in Block-Oriented Systems Driven by Correlated Signals, International Journal of Systems Science, vol. 46, No. 2, pp. 246-254, 2015.

2014

• Mzyk G., Combined Parametric-Nonparametric Identification of Block-Oriented Systems, Lecture Notes in Control and Information Sciences, vol. 454, Springer, 2014.

2009

• Mzyk G., Nonlinearity recovering in Hammerstein system from short measurement sequence, IEEE Signal Processing Letters, vol. 16, No. 9, pp. 762-765, September 2009.
• Hasiewicz Z., Mzyk G., Hammerstein system identification by non-parametric instrumental variables, International Journal of Control, vol. 82, No. 3, pp. 440-455, 2009.

2007

• Mzyk G., 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, 2007.

2004

• Hasiewicz Z, Mzyk G., Combined parametric-nonparametric identification of Hammerstein systems, IEEE Transactions on Automatic Control, vol.49, No. 8, pp. 1370-1375, 2004.

Publikacje w bazie DONA

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Wybrane publikacje
1	Artykuł 2023 Paweł Mielcarek, Grzegorz Mzyk, Recursive algorithm for interaction prediction in Hammerstein system identification with experimental studies. International Journal of Modelling, Identification and Control. 2023, vol. 43, nr 2, s. 134-144. ISSN: 1746-6172; 1746-6180 Zasoby:URLSFX
2	Referat konferencyjny 2022 Purva D Joshi, Grzegorz Mzyk, Nonparametric tracking for time-varying nonlinearities using the kernel method. W: New Advances in Dependability of Networks and Systems : proceedings of the Seventeenth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, June 27 – July 1, 2022, Wrocław, Poland / eds. Wojciech Zamojski [i in.]. Cham : Springer, cop. 2022. s. 79-87. ISBN: 978-3-031-06745-7; 978-3-031-06746-4 Zasoby:DOIURLSFX
3	Referat konferencyjny 2021 Grzegorz Mzyk, Efficient computation of the best controls in complex systems under global constraints. W: Theory and Engineering of Dependable Computer Systems and Networks : proceedings of the Sixteenth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, June 28-July 2, 2021, Wrocław, Poland / eds. Wojciech Zamojski [i in.]. Cham : Springer, cop. 2021. s. 306-315. ISBN: 978-3-030-76772-3; 978-3-030-76773-0 Zasoby:DOISFX
4	Artykuł 2020 Grzegorz Mzyk, Paweł Mielcarek, Kernel identification of non-linear systems with general structure. Algorithms. 2020, vol. 13, nr 12, art. 328, s. 1-16. ISSN: 1999-4893 Zasoby:DOIURLSFX
5	Referat konferencyjny 2020 Bartłomiej Kozdraś, Grzegorz Mzyk, Paweł Mielcarek, Identification of the heating process in differential scanning calorimeter with the use of Hammerstein model. W: Proceedings of the 2020 21st International Carpathian Control Conference (ICCC), Virtual Conference, Košice, Slovak Republic, October 27-29, 2020 / eds. Ivo Petráš, Ján Kačur. Danvers, MA : IEEE, cop. 2020. s. 1-6. ISBN: 978-1-7281-1951-9 Zasoby:DOIURL
6	Artykuł 2020 Grzegorz Mzyk, Paweł Wachel, Wiener system identification by input injection method. International Journal of Adaptive Control and Signal Processing. 2020, vol. 34, nr 8, s. 1105-1119. ISSN: 0890-6327; 1099-1115 Zasoby:DOIURLSFX
7	Referat konferencyjny 2020 Grzegorz Mzyk, Two-level recursive identification of Hammerstein system by interaction prediction method. W: Reliability and statistics in transportation and communication : selected papers from the 19th International Conference on Reliability and Statistics in Transportation and Communication, RelStat’19, 16-19 October 2019, Riga, Latvia / eds. Igor Kabashkin, Irina Yatskiv, Olegas Prentkovskis. Cham : Springer, cop. 2020. s. 119–129. ISBN: 978-3-030-44609-3; 978-3-030-44610-9 Zasoby:DOISFX
8	Artykuł 2019 Grzegorz Mzyk, Marcin Biegański, Paweł Mielcarek, Multi-level identification of Hammerstein-Wiener systems. IFAC-PapersOnLine. 2019, vol. 52, nr 29, s. 174-179. ISSN: 2405-8963 Zasoby:DOISFX
9	Referat konferencyjny 2019 Grzegorz Mzyk, Nonparametric system identification Matlab toolbox. W: ICINCO 2019 : proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics, Prague, Czech Republic, July 29-31, 2019. Vol. 1 / eds. Oleg Gusikhin, Kurosh Madani, Janan Zaytoon. [Portugal] : SCITEPRESS, cop. 2019. s. 691-698. ISBN: 978-989-758-380-3 Zasoby:DOI
10	Referat konferencyjny 2018 Grzegorz Mzyk, Hybrid identification of L-N-L and N-L-N systems. W: 2018 Annual American Control Conference (ACC) : June 27-29, 2018. Wisconsin, Milwaukee, USA. Danvers, MA : IEEE, cop. 2018. s. 5626-5631. ISBN: 978-1-5386-5427-9 Zasoby:DOI

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