E-mail: 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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Selected publications
1	Proceeding paper 2024 Krzysztof Zając, Wojciech M Sopot, Paweł Wachel, Orthogonal transforms in neural networks amount to effective regularization. W: System Dependability - Theory and Applications : Proceedings of the Nineteenth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX, July 1-5, 2024, Brunów, Poland / eds. Wojciech Zamojski [i in.]. Cham : Springer, cop. 2024. s. 337-348. ISBN: 978-3-031-61856-7; 978-3-031-61857-4 Resources:DOIURLSFX
2	Proceeding paper 2024 Krzysztof R Kowalczyk, Paweł Wachel, Cristian R Rojas, Kernel-based learning with guarantees for multi-agent applications. W: Computational Science - ICCS 2024 : 24th International Conference, Malaga, Spain, July 2-4, 2024 : Proceedings. Pt. 3 / eds. Leonardo Franco [i in.]. Cham : Springer, cop. 2024. s. 479-487. ISBN: 978-3-031-63758-2; 978-3-031-63759-9 Resources:DOISFX
3	Proceeding paper 2024 Dominik Baumann, Krzysztof R Kowalczyk, Koen Tiels, Paweł Wachel, A computationally lightweight safe learning algorithm. W: 2023 62nd IEEE Conference on Decision and Control (CDC), Singapore, 13-15 December 2023. [Danvers, MA] : IEEE, cop. 2024. s. 1022-1027. ISBN: 979-8-3503-0125-0; 979-8-3503-0124-3 Resources:DOIURL
4	Article 2024 Paweł Wachel, Krzysztof R Kowalczyk, Cristian R Rojas, Decentralized diffusion-based learning under non-parametric limited prior knowledge. European Journal of Control. 2024, vol. 75, art. 100912, s. 1-7. ISSN: 0947-3580; 1435-5671 Resources:DOISFX
5	Article 2024 Gabriel Maik, Grzegorz Mzyk, Paweł Wachel, Exponential excitations for effective identification of Wiener system. International Journal of Control. 2024, vol. 97, nr 9, s. 1956-1966. ISSN: 0020-7179; 1366-5820 Resources:DOIURLSFX
6	Article 2023 Szymon Łagosz, Paweł Wachel, Przemysław Śliwiński, A dual averaging algorithm for on-line modelling of infinite memory nonlinear systems. IEEE Transactions on Automatic Control. 2023, vol. 68, nr 9, s. 5677-5684. ISSN: 0018-9286; 1558-2523 Resources:DOIURLSFX
7	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
8	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
9	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
10	Article 2022 Krzysztof Zając, Karolina M 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

All publications