Nonparametric identification of nonlinear dynamic systems

A nonparametric identification method for highly nonlinear systems is presented that is able to reconstruct the underlying nonlinearities without a priori knowledge of the describing nonlinear functions. The approach is based on nonlinear Kalman Filter algorithms using the well-known state augmentat...

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Glavni autor: Kenderi, Gábor
Format: Online
Jezik:engleski
Izdano: KIT Scientific Publishing 2021
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author Kenderi, Gábor
author_browse Kenderi, Gábor
author_facet Kenderi, Gábor
author_sort Kenderi, Gábor
collection Directory of Open Access Books
description A nonparametric identification method for highly nonlinear systems is presented that is able to reconstruct the underlying nonlinearities without a priori knowledge of the describing nonlinear functions. The approach is based on nonlinear Kalman Filter algorithms using the well-known state augmentation technique that turns the filter into a dual state and parameter estimator, of which an extension towards nonparametric identification is proposed in the present work.
format Online
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institution Directory of Open Access Books
language eng
publishDate 2021
publishDateRange 2021
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publisherStr KIT Scientific Publishing
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spelling doab-20.500.12854ir-547662024-04-09T23:15:22Z Nonparametric identification of nonlinear dynamic systems Kenderi, Gábor T1-995 nichtlineare dynamische System Kalman Filter nonlinear dynamic system nonparametric identification nichtparametrische Identifikation thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues A nonparametric identification method for highly nonlinear systems is presented that is able to reconstruct the underlying nonlinearities without a priori knowledge of the describing nonlinear functions. The approach is based on nonlinear Kalman Filter algorithms using the well-known state augmentation technique that turns the filter into a dual state and parameter estimator, of which an extension towards nonparametric identification is proposed in the present work. 2021-02-11T21:08:21Z 2021-02-11T21:08:21Z 2019-07-28 18:37:01 2018 book 34226 16143914 9783731508342 https://directory.doabooks.org/handle/20.500.12854/54766 eng Schriftenreihe des Instituts für Technische Mechanik, Karlsruher Institut für Technologie image/jpeg Attribution-ShareAlike 4.0 International https://www.ksp.kit.edu/9783731508342 KIT Scientific Publishing 10.5445/KSP/1000085419 10.5445/KSP/1000085419 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731508342 XXVIII, 194 p. open access
spellingShingle T1-995
nichtlineare dynamische System
Kalman Filter
nonlinear dynamic system
nonparametric identification
nichtparametrische Identifikation
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
Kenderi, Gábor
Nonparametric identification of nonlinear dynamic systems
title Nonparametric identification of nonlinear dynamic systems
title_full Nonparametric identification of nonlinear dynamic systems
title_fullStr Nonparametric identification of nonlinear dynamic systems
title_full_unstemmed Nonparametric identification of nonlinear dynamic systems
title_short Nonparametric identification of nonlinear dynamic systems
title_sort nonparametric identification of nonlinear dynamic systems
topic T1-995
nichtlineare dynamische System
Kalman Filter
nonlinear dynamic system
nonparametric identification
nichtparametrische Identifikation
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
topic_facet T1-995
nichtlineare dynamische System
Kalman Filter
nonlinear dynamic system
nonparametric identification
nichtparametrische Identifikation
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
url 34226
work_keys_str_mv AT kenderigabor nonparametricidentificationofnonlineardynamicsystems