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...
| Format: | eBook |
|---|---|
| Language: | English |
| Published: |
KIT Scientific Publishing
2018
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| Series: | Schriftenreihe des Instituts für Technische Mechanik, Karlsruher Institut für Technologie
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| Subjects: | |
| Online Access: | Open Access: DOAB: description of the publication Open Access: DOAB, download the publication |
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| 020 | |a 9783731508342 | ||
| 020 | |a KSP/1000085419 | ||
| 024 | 7 | |a 10.5445/KSP/1000085419 |2 doi | |
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| 245 | 0 | 0 | |a Nonparametric identification of nonlinear dynamic systems |
| 260 | |b KIT Scientific Publishing |c 2018 | ||
| 300 | |a 1 online resource (XXVIII, 194 p. p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Schriftenreihe des Instituts für Technische Mechanik, Karlsruher Institut für Technologie | |
| 506 | 0 | |a Open Access |f Unrestricted online access |2 star | |
| 520 | |a 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. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by-sa/4.0/ |2 cc |u https://creativecommons.org/licenses/by-sa/4.0/ | ||
| 546 | |a English | ||
| 650 | 7 | |a Technology: general issues |2 bicssc | |
| 653 | |a Kalman Filter | ||
| 653 | |a nichtlineare dynamische System | ||
| 653 | |a nichtparametrische Identifikation | ||
| 653 | |a nonlinear dynamic system | ||
| 653 | |a nonparametric identification | ||
| 793 | 0 | |a DOAB Library. | |
| 856 | 4 | 0 | |u https://directory.doabooks.org/handle/20.500.12854/54766 |7 0 |z Open Access: DOAB: description of the publication |
| 856 | 4 | 0 | |u https://www.ksp.kit.edu/9783731508342 |7 0 |z Open Access: DOAB, download the publication |