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Nonparametric identification of nonlinear dynamic systems

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Format:
Book
Author/Creator:
Kenderi, Gábor
Series:
Schriftenreihe des Instituts für Technische Mechanik, Karlsruher Institut für Technologie
Language:
English
Physical Description:
1 online resource (XXVIII, 194 p. p.)
Place of Publication:
KIT Scientific Publishing 2018
Language Note:
English
Summary:
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.
ISBN:
1000085419

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