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Evaluating the performance of a nonlinear active noise control system in enclosure

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Evaluating the performance of a nonlinear active noise control system in enclosure. / Montazeri, Allahyar; Poshtan, Javad; Jahed-Motlagh, Mohammad Reza.

Industrial Electronics Society, 2007. IECON 2007. 33rd Annual Conference of the IEEE. New York : IEEE, 2007. p. 2484-2488 (IEEE Industrial Electronics Society).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Montazeri, A, Poshtan, J & Jahed-Motlagh, MR 2007, Evaluating the performance of a nonlinear active noise control system in enclosure. in Industrial Electronics Society, 2007. IECON 2007. 33rd Annual Conference of the IEEE. IEEE Industrial Electronics Society, IEEE, New York, pp. 2484-2488, 33rd Annual Conference of the IEEE-Industrial-Electronics-Society, Taipei, 5/11/07. https://doi.org/10.1109/IECON.2007.4460022

APA

Montazeri, A., Poshtan, J., & Jahed-Motlagh, M. R. (2007). Evaluating the performance of a nonlinear active noise control system in enclosure. In Industrial Electronics Society, 2007. IECON 2007. 33rd Annual Conference of the IEEE (pp. 2484-2488). (IEEE Industrial Electronics Society). IEEE. https://doi.org/10.1109/IECON.2007.4460022

Vancouver

Montazeri A, Poshtan J, Jahed-Motlagh MR. Evaluating the performance of a nonlinear active noise control system in enclosure. In Industrial Electronics Society, 2007. IECON 2007. 33rd Annual Conference of the IEEE. New York: IEEE. 2007. p. 2484-2488. (IEEE Industrial Electronics Society). doi: 10.1109/IECON.2007.4460022

Author

Montazeri, Allahyar ; Poshtan, Javad ; Jahed-Motlagh, Mohammad Reza. / Evaluating the performance of a nonlinear active noise control system in enclosure. Industrial Electronics Society, 2007. IECON 2007. 33rd Annual Conference of the IEEE. New York : IEEE, 2007. pp. 2484-2488 (IEEE Industrial Electronics Society).

Bibtex

@inproceedings{d516fed0df664167ae294d1c8d6cb3d4,
title = "Evaluating the performance of a nonlinear active noise control system in enclosure",
abstract = "The optimization of a nonlinear adaptive multi-channel active noise control (ANIC) system in a rectangular enclosure using neural networks is investigated in this paper. The model of enclosure is obtained using modal analysis techniques, and the target bandwidth of the control system for global reduction of noise is selected to be 50-300Hz. Secondary path in modeled offline using multilayer perceptron (MLP), and standard back-propagation algorithm by choosing a multi-tone as an excitation signal. The simulation results assuming linear and nonlinear models of secondary path show that in single-channel case multilayer perceptron neural networks with FxBP algorithm have superior performance than FIR structure with FxLMS algorithm, and in multi-channel case their performance are comparable.",
keywords = "PIEZOELECTRIC ACTUATORS",
author = "Allahyar Montazeri and Javad Poshtan and Jahed-Motlagh, {Mohammad Reza}",
year = "2007",
doi = "10.1109/IECON.2007.4460022",
language = "English",
isbn = "978-1-4244-0783-5",
series = "IEEE Industrial Electronics Society",
publisher = "IEEE",
pages = "2484--2488",
booktitle = "Industrial Electronics Society, 2007. IECON 2007. 33rd Annual Conference of the IEEE",
note = "33rd Annual Conference of the IEEE-Industrial-Electronics-Society ; Conference date: 05-11-2007 Through 08-11-2007",

}

RIS

TY - GEN

T1 - Evaluating the performance of a nonlinear active noise control system in enclosure

AU - Montazeri, Allahyar

AU - Poshtan, Javad

AU - Jahed-Motlagh, Mohammad Reza

PY - 2007

Y1 - 2007

N2 - The optimization of a nonlinear adaptive multi-channel active noise control (ANIC) system in a rectangular enclosure using neural networks is investigated in this paper. The model of enclosure is obtained using modal analysis techniques, and the target bandwidth of the control system for global reduction of noise is selected to be 50-300Hz. Secondary path in modeled offline using multilayer perceptron (MLP), and standard back-propagation algorithm by choosing a multi-tone as an excitation signal. The simulation results assuming linear and nonlinear models of secondary path show that in single-channel case multilayer perceptron neural networks with FxBP algorithm have superior performance than FIR structure with FxLMS algorithm, and in multi-channel case their performance are comparable.

AB - The optimization of a nonlinear adaptive multi-channel active noise control (ANIC) system in a rectangular enclosure using neural networks is investigated in this paper. The model of enclosure is obtained using modal analysis techniques, and the target bandwidth of the control system for global reduction of noise is selected to be 50-300Hz. Secondary path in modeled offline using multilayer perceptron (MLP), and standard back-propagation algorithm by choosing a multi-tone as an excitation signal. The simulation results assuming linear and nonlinear models of secondary path show that in single-channel case multilayer perceptron neural networks with FxBP algorithm have superior performance than FIR structure with FxLMS algorithm, and in multi-channel case their performance are comparable.

KW - PIEZOELECTRIC ACTUATORS

U2 - 10.1109/IECON.2007.4460022

DO - 10.1109/IECON.2007.4460022

M3 - Conference contribution/Paper

SN - 978-1-4244-0783-5

T3 - IEEE Industrial Electronics Society

SP - 2484

EP - 2488

BT - Industrial Electronics Society, 2007. IECON 2007. 33rd Annual Conference of the IEEE

PB - IEEE

CY - New York

T2 - 33rd Annual Conference of the IEEE-Industrial-Electronics-Society

Y2 - 5 November 2007 through 8 November 2007

ER -