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...
Tallennettuna:
| Päätekijä: | |
|---|---|
| Aineistotyyppi: | Online |
| Kieli: | englanti |
| Julkaistu: |
KIT Scientific Publishing
2021
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| Aiheet: | |
| Linkit: | 34226 |
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