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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| Format: | Online |
| Jezik: | engleski |
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KIT Scientific Publishing
2021
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| Online pristup: | 34226 |
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| _version_ | 1869524163646980096 |
|---|---|
| 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 |
| id | doab-20.500.12854ir-54766 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| 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 |