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Anglický jazyk
Nonparametric identification of nonlinear dynamic systems
Autor: Gábor Kenderi
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... Viac o knihe
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O knihe
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.
- Vydavateľstvo: Karlsruher Institut für Technologie
- Rok vydania: 2018
- Formát: Paperback
- Rozmer: 240 x 170 mm
- Jazyk: Anglický jazyk
- ISBN: 9783731508342
Nemecký jazyk 