Email: pawel.wachel@pwr.edu.pl

Unit: Faculty of Information and Communication Technology (N) » Department of Control Systems and Mechatronics

ul. Z. Janiszewskiego 11/17, 50-372 Wrocław
building C-3, room 218
phone +48 71 320 3277

Office hours

• Tuesday 9.00-11.00
• Wednesday 11.00-13.00

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Research fields

• System identification; signal processing; control theory.

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Recent papers

2017

• Wachel P., Wiener system modelling by exponentially weighted aggregation. International Journal of Control 90.11 (2017): 2480-2489.
• Śliwiński P. et al. Non-linear system modelling based on constrained Volterra series estimates. IET Control Theory & Applications 11.15 (2017): 2623-2629.
• Mzyk G. and Wachel P., Kernel-based identification of Wiener–Hammerstein system. Automatica 83 (2017): 275-281.

2016

• Wachel P., Convex aggregative modelling of infinite memory nonlinear systems. International Journal of Control (2016), 89(8), pp.1613-1621.

Papers in DONA database

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1	Article 2023 Paweł Wachel, Koen Tiels, Maciej Filiński, Learning low-dimensional separable decompositions of MIMO non-linear systems. International Journal of Control. 2023, vol. 96, nr 4, s. 900-906. ISSN: 0020-7179; 1366-5820 Resources:DOISFX
2	Article 2022 Paweł Wachel, Cristian R Rojas, An adversarial approach to adaptive model predictive control. Journal of Advances in Applied & Computational Mathematics. 2022, vol. 9, s. 135-146. ISSN: 2409-5761 Resources:DOIURLSFX
3	Article 2022 Cristian R Rojas, Paweł Wachel, On state-space representations of general discrete-time dynamical systems. IEEE Transactions on Automatic Control. 2022, vol. 67, nr 12, s. 6975-6979. ISSN: 0018-9286; 1558-2523 Resources:DOIURLSFX
4	Article 2022 Szymon Łagosz, Paweł Wachel, Przemysław Śliwiński, A dual averaging algorithm for on-line modelling of infinite memory nonlinear systems. IEEE Transactions on Automatic Control. 2022, s. 1-8. ISSN: 0018-9286; 1558-2523 Resources:DOIURL
5	Article 2022 Krzysztof P Zając, Karolina Płatek, Paweł Wachel, Leszek Łatka, Fractal dimension as robust estimate of low carbon steels hardness. Advances in Science and Technology Research Journal. 2022, vol. 16, nr 5, s. 335-344. ISSN: 2080-4075; 2299-8624 Resources:DOIURLSFX
6	Proceeding paper 2021 Przemysław Śliwiński, Paweł Wachel, Jerzy Rozenblit, Mimicking learning for 1-NN classifiers. W: Computational Science - ICCS 2021 : 21st International Conference Krakow, Poland, June 16-18, 2021 : proceedings. Pt. 3 / eds. Maciej Paszynski [i in.]. Cham : Springer, cop. 2021. s. 75-80. ISBN: 978-3-030-77966-5; 978-3-030-77967-2 Resources:DOIURLSFX
7	Proceeding paper 2021 Maciej Filiński, Paweł Wachel, Koen Tiels, Low-dimensional decompositions for nonlinear finite impulse response modeling. W: Computational Science - ICCS 2021 : 21st International Conference Krakow, Poland, June 16-18, 2021 : proceedings. Pt. 5 / eds. Maciej Paszynski [i in.]. Cham : Springer, cop. 2021. s. 352-359. ISBN: 978-3-030-77976-4; 978-3-030-77977-1 Resources:DOIURLSFX
8	Article 2021 Szymon Łagosz, Przemysław Śliwiński, Paweł Wachel, Identification of Wiener–Hammerstein systems by ℓ1–constrained Volterra series. European Journal of Control. 2021, vol. 58, s. 53-59. ISSN: 0947-3580; 1435-5671 Resources:DOISFX
9	Article 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 Resources:DOIURLSFX
10	Monograph chapter 2019 Przemysław Śliwiński, Paweł Wachel, Stochastic framework for contrast-detection autofocusing. W: Stochastic models, statistics and their applications : Dresden, Germany, March 2019 / Ansgar Steland, Ewaryst Rafajłowicz, Ostap Okhrin (Eds.). Switzerland : Springer, cop. 2019. s. 385-392. ISBN: 978-3-030-28664-4; 978-3-030-28665-1 Resources:DOIURLSFX