Input time delay systems identification via wavelet approach

Author

Najafi, M. ; Zekri, M. ; Askari, J.

Author_Institution

Electr. & Comput. Eng. Dept., Isfahan Univ. of Technol., Isfahan, Iran

fYear

2010

fDate

9-11 June 2010

Firstpage

2013

Lastpage

2017

Abstract

In this paper, a new and effective method is presented for on-line parameters identification of systems with unknown time delay. Our method is based on wavelet approach for time delay identification and Gradient or RLS algorithm is used for estimating transfer function parameters. So two parametric models of system are presented that one of them is used for time delay estimation and other one is used for parameters identification. The effectiveness of this method has been demonstrated through simulation.

Keywords

delay estimation; gradient methods; recursive estimation; wavelet transforms; gradient algorithm; input time delay system identification; online parameter identification RLS algorithm; recursive least square method; transfer function parameter estimation; wavelet transform; Delay effects; Delay estimation; Least squares approximation; Parameter estimation; Parametric statistics; Recursive estimation; Resonance light scattering; System identification; Transfer functions; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Automation (ICCA), 2010 8th IEEE International Conference on

Conference_Location

Xiamen

ISSN

1948-3449

Print_ISBN

978-1-4244-5195-1

Electronic_ISBN

1948-3449

Type

conf

DOI

10.1109/ICCA.2010.5524393

Filename

5524393