%0 Generic
%A Schoukens, Maarten
%D 2020
%T Parallel Wiener-Hammerstein Time Series
%U https://data.4tu.nl/articles/dataset/Parallel_Wiener-Hammerstein_Time_Series/12950081/1
%R 10.4121/12950081.v1
%K Wiener-Hammerstein
%K System Identification
%K Nonlinear
%K Machine Learning
%K Dynamic System
%K Electronic Circuit
%K time series
%X <p>A Parallel Wiener-Hammerstein system is a nonlinear dynamical system obtained by connecting multiple Wiener-Hammerstein systems in parallel. Each parallel branch contains a static nonlinearity that is sandwiched in between two linear time-invariant (LTI) blocks. The presence of the two LTI blocks, and the parallel branches results in a problem that is harder to identify. The LTI blocks are realized as active filters while the static nonlinearity is implemented as a diode-resistor electronic circuit.</p><p><br></p><p>The provided data was part of a previously published Automatica paper available online at <a target="_blank">Sciencedirect</a> or as an <a target="_blank">ArXiv preprint</a>. The Parallel Wiener-Hammerstein system, the measurement setup, and the input signals used are detailed in Section 10 of the aforementioned paper. </p><p><br></p><p>This zip-file contains multiple measured input-output time series: a multisine estimation/validation data set, and a multisine and increasing-amplitude test data set. The data is available in the .csv and .mat file format.</p>
%I 4TU.ResearchData