Zobrazeno 1 - 10
of 54
pro vyhledávání: '"Lieve Lauwers"'
Publikováno v:
Vrije Universiteit Brussel
In this paper, the Polynomial NonLinear State Space (PNLSS) approach is applied to model a nonlinear system with a Wiener-Hammerstein structure. To obtain good initial estimates, the best linear approximation of the system under test is first identif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d5bca2bc92e4823a68954bea1e1dbfa8
https://doi.org/10.1016/j.conengprac.2012.06.006
https://doi.org/10.1016/j.conengprac.2012.06.006
Publikováno v:
Vrije Universiteit Brussel
This paper describes the identification of Wiener-Hammerstein models and two recently suggested algorithms are applied to the SYSID'09 benchmark data. The most difficult step in the identification process of such block-oriented models is to generate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b5c92dce43552ceae3125c8edfed6b6
https://doi.org/10.1016/j.conengprac.2012.07.001
https://doi.org/10.1016/j.conengprac.2012.07.001
A Simple Nonparametric Preprocessing Technique to Correct for Nonstationary Effects in Measured Data
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 61:2085-2094
The general approach for modeling systems assumes that the measured signals are (weakly) stationary, i.e., the power spectrum is time invariant. However, the stationarity assumption is violated when: 1) transient effects due to experimental condition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1889a443eb939069d0315fdc16a21c5f
https://doi.org/10.1109/tim.2012.2198269
https://doi.org/10.1109/tim.2012.2198269
Improved Variance Estimates of FRF Measurements in the Presence of Nonlinear Distortions Via Overlap
Publikováno v:
Vrije Universiteit Brussel
The frequency response function (FRF) is a common nonparametric modeling tool in many practical engineering problems used for obtaining insight in the device under test. However, the device often behaves nonlinearly. When nonlinearities are detected,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8e07fe86316b9415435b66a6e82bbde1
https://doi.org/10.1109/tim.2010.2049218
https://doi.org/10.1109/tim.2010.2049218
Publikováno v:
Vrije Universiteit Brussel
In this paper, we propose an identification procedure for nonlinear feedback systems by introducing a new type of model structure. The idea is to combine the advantages of two different model structures: the Polynomial NonLinear State Space (PNLSS) m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2c0c6d27d72351c3b86cc80081a806c
https://doi.org/10.3182/20090706-3-fr-2004.00054
https://doi.org/10.3182/20090706-3-fr-2004.00054
Publikováno v:
Vrije Universiteit Brussel
In this paper, we focus on the nonlinear modelling of Wiener-Hammerstein structures. The most difficult step in the identification process of such block-oriented models is to generate good initial values for the linear dynamic blocks. Here, good init
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f26cd49b0e985422f2d5bc29b756993b
https://doi.org/10.3182/20090706-3-fr-2004.00182
https://doi.org/10.3182/20090706-3-fr-2004.00182
Publikováno v:
Vrije Universiteit Brussel
Based on simple Frequency Response Function (FRF) measurements, we give the user some guidance in the selection of an appropriate nonlinear block structure for the system to be modeled. The method consists in measuring the FRF using a Gaussian-like i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd63151744d84220eedc5cd9e731ed4d
https://doi.org/10.1109/tim.2008.920038
https://doi.org/10.1109/tim.2008.920038
Publikováno v:
EUSIPCO
Dynamical systems describing a physical process with a dominant diffusion phenomenon require a large dimensional model due to their long memory. Without prior knowledge, it is however not straightforward to know if/whether one deals with a fractional
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0425000890a092ee2621bcb1c87ee3b7
https://doi.org/10.1109/eusipco.2015.7362521
https://doi.org/10.1109/eusipco.2015.7362521
Autor:
Kurt Barbé, Lieve Lauwers
Publikováno v:
ICASSP
When analyzing fMRI data to study the brain process, one faces two challenges: (i) the correct noise distribution and (ii) the brain dynamics. In general, the brain dynamics are modeled under the simplifying, but wrong assumption that the noise follo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebb8e025b2500f4faa62c9efa40cefb2
https://doi.org/10.1109/icassp.2015.7178122
https://doi.org/10.1109/icassp.2015.7178122
Engineers find interpreting plots of a measured physical variable more straightforward than doing a formal statistical analysis. The default choice to display the data behavior is the histogram. The histogram’s performance has proved to be sufficie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a6d5fc7443bac9a888fade13b2ed9e2c
https://biblio.vub.ac.be/vubir/a-qualitative-study-of-probability-density-visualization-techniques-in-measurements(a9823b94-4fc1-4b3c-aa63-9956fb70d802).html
https://biblio.vub.ac.be/vubir/a-qualitative-study-of-probability-density-visualization-techniques-in-measurements(a9823b94-4fc1-4b3c-aa63-9956fb70d802).html
