EAN: 9783731508342

Bilder-Quelle: discount24.de - Sport-Freizeit

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.

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14.02.2026 um 16:00 Uhr

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