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 |
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| Language: | English |
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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 |