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Published in 2020 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2020.12.1308
Abstract: Abstract To obtain a consistent estimate when performing an identification with Prediction Error, it is important that the excitation yields informative data with respect to the chosen model structure. While the characterization of this property…
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Keywords:
informativity identification;
data informativity;
hammerstein systems;
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Published in 2021 at "IFAC-PapersOnLine"
DOI: 10.1016/j.ifacol.2021.08.402
Abstract: Abstract Nonlinear dynamic systems are often approximated by a Volterra series, which is a generalization of the Taylor series for systems with memory. However, the Volterra series lacks physical interpretation. To take advantage of the…
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Keywords:
parameter estimation;
parallel wiener;
wiener hammerstein;
hammerstein systems ... See more keywords
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Published in 2017 at "Iet Control Theory and Applications"
DOI: 10.1049/iet-cta.2016.1033
Abstract: The parameter estimation problem for multi-input multi-output Hammerstein systems is considered. For the Hammerstein model to be identified, its dynamic time-invariant subsystem is described by a controlled autoregressive model with a communication delay. The modified…
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Keywords:
hierarchical identification;
kalman filter;
hammerstein systems;
modified kalman ... See more keywords
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Published in 2017 at "International Journal of Systems Science"
DOI: 10.1080/00207721.2017.1320455
Abstract: ABSTRACT In this paper, a decomposition-based recursive least-squares algorithm is proposed for the parameter estimation of Wiener-Hammerstein systems with dead-zone. Based on a smooth parameterisation of the dead-zone nonlinearity, the Wiener-Hammerstein systems with dead-zone can…
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Keywords:
recursive least;
least squares;
systems dead;
hammerstein systems ... See more keywords
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Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2877622
Abstract: The implementation of parameter estimation of Hammerstein systems is much difficult due to the existing parameter products from the nonlinear block and the linear block. This paper directly decomposes the parameter coupling between the nonlinear…
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Keywords:
estimation;
estimation methods;
parameter estimation;
decoupled parameter ... See more keywords
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Published in 2022 at "IEEE Transactions on Automatic Control"
DOI: 10.1109/tac.2022.3171389
Abstract: We examine the problem of testing a parametric form of the nonlinearity of Hammerstein systems against a nonparametric alternative. This article proposes test statistics relying on nonparametric orthogonal series regression function estimates. An asymptotic theory…
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Keywords:
nonparametric testing;
hammerstein systems;
systems nonparametric;
testing hammerstein ... See more keywords