IDENTIFICATION OF LINEAR SYSTEMS WITH HARD INPUT NONLINEARITIES OF KNOWN STRUCTURE

Er-Wei Bai

doi:10.3182/20020721-6-ES-1901.00427

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IDENTIFICATION OF LINEAR SYSTEMS WITH HARD INPUT NONLINEARITIES OF KNOWN STRUCTURE

Journal article

Open access

Peer reviewed

IDENTIFICATION OF LINEAR SYSTEMS WITH HARD INPUT NONLINEARITIES OF KNOWN STRUCTURE

Er-Wei Bai

IFAC Proceedings Volumes, Vol.35(1), pp.97-102

2002

DOI: 10.3182/20020721-6-ES-1901.00427

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Abstract

This paper studies identification of systems with input nonlinearities of known structure. For input nonlinearities parameterized by one parameter, a deterministic approach is proposed based on the idea of separable least squares. The identification problem is shown to be equivalent to a one-dimensional minimization problem. The method is very effective for several common static and non-static input nonlinearities. For a general input nonlinearity, a correlation analysis based identification algorithm is presented which is shown to be convergent.

nonlinear systems

parameterestimation

system identification

Details

Title: Subtitle: IDENTIFICATION OF LINEAR SYSTEMS WITH HARD INPUT NONLINEARITIES OF KNOWN STRUCTURE
Creators: Er-Wei Bai - University of Iowa
Resource Type: Journal article
Publication Details: IFAC Proceedings Volumes, Vol.35(1), pp.97-102
DOI: 10.3182/20020721-6-ES-1901.00427
ISSN: 1474-6670
Language: English
Date published: 2002
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984197338502771

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