Nonparametric identification of nonlinear dynamic systems
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 augmentat...
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Main Author: | |
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Format: | Electronic Book Chapter |
Language: | English |
Published: |
KIT Scientific Publishing
2018
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Series: | Schriftenreihe des Instituts für Technische Mechanik, Karlsruher Institut für Technologie
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Subjects: | |
Online Access: | DOAB: download the publication DOAB: description of the publication |
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Internet
DOAB: download the publicationDOAB: description of the publication
3rd Floor Main Library
Call Number: |
A1234.567 |
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Copy 1 | Available |