UID:
almahu_9949711091802882
Format:
1 electronic resource (XXVIII, 194 p. p.)
ISBN:
1000085419
Series Statement:
Schriftenreihe des Instituts für Technische Mechanik, Karlsruher Institut für Technologie
Content:
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.
Note:
English
Additional Edition:
ISBN 3-7315-0834-6
Language:
English
