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Design of a MIMO neuro-controller for ANC system with loudspeaker nonlinearity in enclosure

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Design of a MIMO neuro-controller for ANC system with loudspeaker nonlinearity in enclosure. / Montazeri, Allahyar; Poshtan, Javad.
Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on. New York: IEEE, 2007. p. 1415-1418.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Montazeri, A & Poshtan, J 2007, Design of a MIMO neuro-controller for ANC system with loudspeaker nonlinearity in enclosure. in Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on. IEEE, New York, pp. 1415-1418, IEEE International Conference on Signal Processing and Communications, Dubai, 24/11/07. https://doi.org/10.1109/ICSPC.2007.4728594

APA

Montazeri, A., & Poshtan, J. (2007). Design of a MIMO neuro-controller for ANC system with loudspeaker nonlinearity in enclosure. In Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on (pp. 1415-1418). IEEE. https://doi.org/10.1109/ICSPC.2007.4728594

Vancouver

Montazeri A, Poshtan J. Design of a MIMO neuro-controller for ANC system with loudspeaker nonlinearity in enclosure. In Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on. New York: IEEE. 2007. p. 1415-1418 doi: 10.1109/ICSPC.2007.4728594

Author

Montazeri, Allahyar ; Poshtan, Javad. / Design of a MIMO neuro-controller for ANC system with loudspeaker nonlinearity in enclosure. Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on. New York : IEEE, 2007. pp. 1415-1418

Bibtex

@inproceedings{2684e68a07fc47dca67cd602469ca11c,
title = "Design of a MIMO neuro-controller for ANC system with loudspeaker nonlinearity in enclosure",
abstract = "In this paper optimization of a nonlinear adaptive multi-channel active noise control system in a rectangular enclosure using neural networks is investigated. The model of enclosure is obtained using modal analysis, and the bandwidth of the control system for global reduction of noise is selected between 50-300Hz. Secondary path in modeled offline using MLP and Levenberg-Marquardt algorithm with sum of sinusoid excitation signal. The simulation results for multi-channel case assuming nonlinear loudspeaker in the secondary path, show the performance of feedforward multilayer perceptron neural networks with FxBP algorithm is acceptable in attenuation of noise and its harmonics in the error microphones.",
keywords = "Acoustic applications, NOISE, Feedforward neural network, neural network applications",
author = "Allahyar Montazeri and Javad Poshtan",
year = "2007",
doi = "10.1109/ICSPC.2007.4728594",
language = "English",
isbn = "978-1-4244-1235-8",
pages = "1415--1418",
booktitle = "Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on",
publisher = "IEEE",
note = "IEEE International Conference on Signal Processing and Communications ; Conference date: 24-11-2007 Through 27-11-2007",

}

RIS

TY - GEN

T1 - Design of a MIMO neuro-controller for ANC system with loudspeaker nonlinearity in enclosure

AU - Montazeri, Allahyar

AU - Poshtan, Javad

PY - 2007

Y1 - 2007

N2 - In this paper optimization of a nonlinear adaptive multi-channel active noise control system in a rectangular enclosure using neural networks is investigated. The model of enclosure is obtained using modal analysis, and the bandwidth of the control system for global reduction of noise is selected between 50-300Hz. Secondary path in modeled offline using MLP and Levenberg-Marquardt algorithm with sum of sinusoid excitation signal. The simulation results for multi-channel case assuming nonlinear loudspeaker in the secondary path, show the performance of feedforward multilayer perceptron neural networks with FxBP algorithm is acceptable in attenuation of noise and its harmonics in the error microphones.

AB - In this paper optimization of a nonlinear adaptive multi-channel active noise control system in a rectangular enclosure using neural networks is investigated. The model of enclosure is obtained using modal analysis, and the bandwidth of the control system for global reduction of noise is selected between 50-300Hz. Secondary path in modeled offline using MLP and Levenberg-Marquardt algorithm with sum of sinusoid excitation signal. The simulation results for multi-channel case assuming nonlinear loudspeaker in the secondary path, show the performance of feedforward multilayer perceptron neural networks with FxBP algorithm is acceptable in attenuation of noise and its harmonics in the error microphones.

KW - Acoustic applications

KW - NOISE

KW - Feedforward neural network

KW - neural network applications

U2 - 10.1109/ICSPC.2007.4728594

DO - 10.1109/ICSPC.2007.4728594

M3 - Conference contribution/Paper

SN - 978-1-4244-1235-8

SP - 1415

EP - 1418

BT - Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on

PB - IEEE

CY - New York

T2 - IEEE International Conference on Signal Processing and Communications

Y2 - 24 November 2007 through 27 November 2007

ER -