Title :
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
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;
Conference_Titel :
Control and Automation (ICCA), 2010 8th IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-5195-1
Electronic_ISBN :
1948-3449
DOI :
10.1109/ICCA.2010.5524393
