On-line model identification for active noise control using integrated bispectrum analysis

• Autorzy: Główka T.
• Języki publikacji: EN

Abstrakty

EN

In the paper a problem of the on-line model identification of secondary and feedback paths in the feedforward ANC system is considered. The system is closed-loop, with low signal-to-noise ratio and with the disturbance affecting the input and output of the identified paths. To overcome the mentioned difficulties a new approach to the identification based on the higher-order spectra is presented. The integrated bispectrum-based identification method is proposed and the results of its applying are provided and compared with the results derived from the classical methods. The estimates are computed on the basis of data acquired in the laboratory (real-world) experiment as well as in the computer simulations.

Słowa kluczowe

EN

active noise control; closed loop systems; higher-order statistics; non-gaussian processes; spectral analysis; system identification

• Wydawca: Polish Academy of Sciences, Committee of Automatic Control and Robotics
• Czasopismo: Archives of Control Sciences
• Rocznik: 2007
• Tom: Vol. 17, no. 2
• Strony: 191--207
• Opis fizyczny: Bibliogr. 23 poz., rys., tab.

Twórcy

autor

Główka T.

• Institute of Automatic Control, Silesian University of Technology, Gliwice, Poland,

Bibliografia

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