DocumentCode :
2759086
Title :
Identification of complex systems in the basis of wavelets
Author :
Shaydurov, Alexander
Author_Institution :
McGill Univ., Montreal, Que.
fYear :
2005
fDate :
1-4 May 2005
Firstpage :
782
Lastpage :
785
Abstract :
In this paper is proposed the method of the identification of complex dynamic systems. Method can be used for the identification of linear and nonlinear complex dynamic systems for the determined or stochastic signals at the inputs and the outputs. It is proposed to use a basis of wavelets for obtaining the impulse transient function (ITF) of system. ITF is considered in the form of surface in the 3D space. Are given the results of experiments on the identification of systems in the basis of wavelets
Keywords :
signal processing; stochastic processes; wavelet transforms; complex system identification; impulse transient function; nonlinear complex dynamic systems; stochastic signals; Frequency; Linear systems; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear equations; Power generation economics; Signal processing; Stochastic systems; Time measurement; Wavelet analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering, 2005. Canadian Conference on
Conference_Location :
Saskatoon, Sask.
ISSN :
0840-7789
Print_ISBN :
0-7803-8885-2
Type :
conf
DOI :
10.1109/CCECE.2005.1557045
Filename :
1557045
Link To Document :
بازگشت