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Gábor Kenderi

Nonparametric identification of nonlinear dynamic systems

(Schriftenreihe des Instituts für Technische Mechanik, Karlsruher Institut für Technologie ; 32)

AutorKenderi, Gábor

VerlagKIT Scientific Publishing, Karlsruhe

ISBN9783731508342

UmfangXXVIII, 194 S.

Veröffentlicht
am:
28.11.2018

Erscheinungs-
jahr
2018

VerfügbarkeitAktiv

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Für Zitate bitte die folgende URL verwenden:
http://dx.doi.org/10.5445/KSP/1000085419

Abstract

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.