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Proceedings Paper

Modeling and identification of nonlinear dynamic systems
Author(s): Sheng Chen
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Paper Abstract

The paper summarizes some results of nonlinear system modelling and identification. Connections with the dynamical systems theory and neural networks are emphasized. Two general modelling approaches are highlighted. Issues of identifiability and model validation are also discussed.

Paper Details

Date Published: 28 October 1994
PDF: 9 pages
Proc. SPIE 2296, Advanced Signal Processing: Algorithms, Architectures, and Implementations V, (28 October 1994); doi: 10.1117/12.190840
Show Author Affiliations
Sheng Chen, Univ. of Portsmouth (United Kingdom)


Published in SPIE Proceedings Vol. 2296:
Advanced Signal Processing: Algorithms, Architectures, and Implementations V
Franklin T. Luk, Editor(s)

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