Pawel Wachel

35 papers A 1Misc 4Journal 21Unranked 9
YearRankTypeTitle / Venue / Authors
2025 A conf
Compensating Latent Nonlinear Dynamics for Practical Consensus Control.
AAMAS
Krzysztof Kowalczyk, Dominik Baumann, Cristian R. Rojas, Pawel Wachel
2025 J jnl
Safety and Optimality in Learning-Based Control at Low Computational Cost.
IEEE Trans. Autom. Control.
Dominik Baumann, Krzysztof Kowalczyk, Cristian R. Rojas, Koen Tiels, Pawel Wachel
2025 J jnl
Safety and optimality in learning-based control at low computational cost.
CoRR
Dominik Baumann, Krzysztof Kowalczyk, Cristian R. Rojas, Koen Tiels, Pawel Wachel
2024 J jnl
Decentralized diffusion-based learning under non-parametric limited prior knowledge.
Eur. J. Control
Pawel Wachel, Krzysztof Kowalczyk, Cristian R. Rojas
2024 J jnl
Exponential excitations for effective identification of Wiener system.
Int. J. Control
Gabriel Maik, Grzegorz Mzyk, Pawel Wachel
2024 — conf
Kernel-Based Learning with Guarantees for Multi-agent Applications.
ICCS (3)
Krzysztof Kowalczyk, Pawel Wachel, Cristian R. Rojas
2024 J jnl
Kernel-based learning with guarantees for multi-agent applications.
CoRR
Krzysztof Kowalczyk, Pawel Wachel, Cristian R. Rojas
2023 — conf
A Computationally Lightweight Safe Learning Algorithm.
CDC
Dominik Baumann, Krzysztof Kowalczyk, Koen Tiels, Pawel Wachel
2023 J jnl
A Dual Averaging Algorithm for Online Modeling of Infinite Memory Nonlinear Systems.
IEEE Trans. Autom. Control.
Szymon Lagosz, Pawel Wachel, Przemyslaw Sliwinski
2023 J jnl
A computationally lightweight safe learning algorithm.
CoRR
Dominik Baumann, Krzysztof Kowalczyk, Koen Tiels, Pawel Wachel
2023 J jnl
Decentralized diffusion-based learning under non-parametric limited prior knowledge.
CoRR
Pawel Wachel, Krzysztof Kowalczyk, Cristian R. Rojas
2023 J jnl
Frequency-Supported Neural Networks for Nonlinear Dynamical System Identification.
CoRR
Krzysztof Zajac, Pawel Wachel
2023 J jnl
Learning low-dimensional separable decompositions of MIMO non-linear systems.
Int. J. Control
Pawel Wachel, Koen Tiels, Maciej Filinski
2022 J jnl
On State-Space Representations of General Discrete-Time Dynamical Systems.
IEEE Trans. Autom. Control.
Cristian R. Rojas, Pawel Wachel
2022 J jnl
On state-space representations of general discrete-time dynamical systems.
CoRR
Cristian R. Rojas, Pawel Wachel
2021 J jnl
Identification of Wiener-Hammerstein systems by ℓ1-constrained Volterra series.
Eur. J. Control
Szymon Lagosz, Przemyslaw Sliwinski, Pawel Wachel
2021 — conf
Low-Dimensional Decompositions for Nonlinear Finite Impulse Response Modeling.
ICCS (5)
Maciej Filinski, Pawel Wachel, Koen Tiels
2021 — conf
Mimicking Learning for 1-NN Classifiers.
ICCS (3)
Przemyslaw Sliwinski, Pawel Wachel, Jerzy W. Rozenblit
2019 J jnl
Assessment of Baroreflex Sensitivity Using Time-Frequency Analysis during Postural Change and Hypercapnia.
Comput. Math. Methods Medicine
Agnieszka Kazimierska, Michal M. Placek, Agnieszka Uryga, Pawel Wachel, Malgorzata Burzynska, Magdalena Kasprowicz
2019 Misc conf
Modeling of switching-mode nonlinear system by exponentially weighted aggregation.
MMAR
Pawel Wachel, Przemyslaw Sliwinski, Zygmunt Hasiewicz
2018 J jnl
Nonlinear system modeling based on constrained Volterra series estimates.
CoRR
Przemyslaw Sliwinski, Anna Marconato, Pawel Wachel, Georgios Birpoutsoukis
2017 Misc conf
Exponentially weighted aggregation of models for Wiener-Hammerstein system modelling.
MMAR
Pawel Wachel, Zygmunt Hasiewicz
2017 J jnl
Kernel-based identification of Wiener-Hammerstein system.
Autom.
Grzegorz Mzyk, Pawel Wachel
2017 — conf
Multistage identification of Wiener-Hammerstein system.
KKA
Zygmunt Hasiewicz, Pawel Wachel, Grzegorz Mzyk, Bartlomiej Kozdras
2017 J jnl
Wiener system modelling by exponentially weighted aggregation.
Int. J. Control
Pawel Wachel
2016 Misc conf
A stochastic approach to contrast detection autofocusing. A 2D case analysis.
MMAR
Adrian Galeziowski, Przemyslaw Sliwinski, Pawel Wachel
2016 Misc conf
Aggregative modeling of Wiener systems.
MMAR
Szymon Lagosz, Przemyslaw Sliwinski, Pawel Wachel
2016 J jnl
Convex aggregative modelling of infinite memory nonlinear systems.
Int. J. Control
Pawel Wachel
2015 J jnl
Aggregative Modeling of Nonlinear Systems.
IEEE Signal Process. Lett.
Pawel Wachel, Przemyslaw Sliwinski
2015 — conf
Complexity of cerebral blood flow velocity and arterial blood pressure in subarachnoid hemorrhage using time-frequency analysis.
EMBC
Michal M. Placek, Pawel Wachel, Marek Czosnyka, Martin Soehle, Peter Smielewski, Magdalena Kasprowicz
2013 J jnl
A simple scheme for semi-recursive identification of Hammerstein system nonlinearity by Haar wavelets.
Int. J. Appl. Math. Comput. Sci.
Przemyslaw Sliwinski, Zygmunt Hasiewicz, Pawel Wachel
2013 — conf
Application of stochastic counterpart optimization to contrast-detection autofocusing.
ICACCI
Przemyslaw Sliwinski, Pawel Wachel
2013 — conf
Empirical Recovery of Input Nonlinearity in Distributed Element Models.
ALCOSP
Przemyslaw Sliwinski, Krzysztof S. Berezowski, Pawel Wachel, Gilles Sicard, Laurent Fesquet
2013 — conf
Model Selection of Hammerstein System Nonlinearity under Heavy Noise.
ALCOSP
Zygmunt Hasiewicz, Grzegorz Mzyk, Przemyslaw Sliwinski, Pawel Wachel
2007 J jnl
On Nonparametric Identification of Wiener Systems.
IEEE Trans. Signal Process.
Miroslaw Pawlak, Zygmunt Hasiewicz, Pawel Wachel