IDENTIFICATION OF IIR NONLINEAR SYSTEMS WITHOUT STRUCTURAL INFORMATION

E.W Bai; R Tempo; Y Liu

doi:10.3182/20050703-6-CZ-1902.00119

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IDENTIFICATION OF IIR NONLINEAR SYSTEMS WITHOUT STRUCTURAL INFORMATION

Journal article

Peer reviewed

IDENTIFICATION OF IIR NONLINEAR SYSTEMS WITHOUT STRUCTURAL INFORMATION

E.W Bai, R Tempo and Y Liu

IFAC Proceedings Volumes, Vol.38(1), pp.710-715

2005

DOI: 10.3182/20050703-6-CZ-1902.00119

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Abstract

In this paper, we propose an algorithm for identification of dynamic IIR nonlinear systems without prior structural information. The algorithm is based upon the well-known kernel method, which is generally used for probability density function estimation. Asymptotic convergence properties (in probability) are rigorously established for identification of IIR nonlinear systems. The performance of the algorithm is tested on three real world applications and one simulated example, thus showing the efficiency of the method.

estimation

identification

nonlinear systems

Details

Title: Subtitle: IDENTIFICATION OF IIR NONLINEAR SYSTEMS WITHOUT STRUCTURAL INFORMATION
Creators: E.W Bai - University of Iowa
R Tempo - Politecnico di Torino
Y Liu - University of Iowa
Resource Type: Journal article
Publication Details: IFAC Proceedings Volumes, Vol.38(1), pp.710-715
DOI: 10.3182/20050703-6-CZ-1902.00119
ISSN: 1474-6670
Language: English
Date published: 2005
Academic Unit: Electrical and Computer Engineering
Record Identifier: 9984197171802771

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