A new robust adaptive IIR filter for compensating uncertainties in the secondary path estimation model in ANVC systems

School of Engineering

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A new robust adaptive IIR filter for compensating uncertainties in the secondary path estimation model in ANVC systems. / Montazeri, Allahyar; Poshtan, Javad.
Signal Processing, 2008. ICSP 2008. 9th International Conference on. ed. / BZ Yuan; QQ Ruan; XF Tang. New York: IEEE, 2008. p. 252-255.

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

Harvard

Montazeri, A & Poshtan, J 2008, A new robust adaptive IIR filter for compensating uncertainties in the secondary path estimation model in ANVC systems. in BZ Yuan, QQ Ruan & XF Tang (eds), Signal Processing, 2008. ICSP 2008. 9th International Conference on. IEEE, New York, pp. 252-255, 9th International Conference on Signal Processing, Beijing, 26/10/08. https://doi.org/10.1109/ICOSP.2008.4697118

APA

Montazeri, A., & Poshtan, J. (2008). A new robust adaptive IIR filter for compensating uncertainties in the secondary path estimation model in ANVC systems. In BZ. Yuan, QQ. Ruan, & XF. Tang (Eds.), Signal Processing, 2008. ICSP 2008. 9th International Conference on (pp. 252-255). IEEE. https://doi.org/10.1109/ICOSP.2008.4697118

Vancouver

Montazeri A, Poshtan J. A new robust adaptive IIR filter for compensating uncertainties in the secondary path estimation model in ANVC systems. In Yuan BZ, Ruan QQ, Tang XF, editors, Signal Processing, 2008. ICSP 2008. 9th International Conference on. New York: IEEE. 2008. p. 252-255 doi: 10.1109/ICOSP.2008.4697118

Author

Montazeri, Allahyar ; Poshtan, Javad. / A new robust adaptive IIR filter for compensating uncertainties in the secondary path estimation model in ANVC systems. Signal Processing, 2008. ICSP 2008. 9th International Conference on. editor / BZ Yuan ; QQ Ruan ; XF Tang. New York : IEEE, 2008. pp. 252-255

Bibtex

@inproceedings{8aa644be91594174aece6a1236f6db27,

title = "A new robust adaptive IIR filter for compensating uncertainties in the secondary path estimation model in ANVC systems",

abstract = "In this paper a new robust adaptive IIR filter is designed for active noise and vibration control system. The developed adaptive algorithm has the capability to remain stable, when an upper bound of the uncertainties in the estimated model of the secondary path is known beforehand. It is proved that by using a nonlinear function of the measured error signal in the adaptation process the algorithm will exhibit a robustness property with respect to possible uncertainties in the secondary path model. This algorithm belongs to the class of RLS-type adaptive IIR filters in the modified filtered-x structure, and its stability is analyzed using Lyapanov theory.",

keywords = "ACTIVE NOISE-CONTROL",

author = "Allahyar Montazeri and Javad Poshtan",

year = "2008",

doi = "10.1109/ICOSP.2008.4697118",

language = "English",

isbn = "978-1-4244-2178-7",

pages = "252--255",

editor = "BZ Yuan and QQ Ruan and XF Tang",

booktitle = "Signal Processing, 2008. ICSP 2008. 9th International Conference on",

publisher = "IEEE",

note = "9th International Conference on Signal Processing ; Conference date: 26-10-2008 Through 29-10-2008",

}

RIS

TY - GEN

T1 - A new robust adaptive IIR filter for compensating uncertainties in the secondary path estimation model in ANVC systems

AU - Montazeri, Allahyar

AU - Poshtan, Javad

PY - 2008

Y1 - 2008

N2 - In this paper a new robust adaptive IIR filter is designed for active noise and vibration control system. The developed adaptive algorithm has the capability to remain stable, when an upper bound of the uncertainties in the estimated model of the secondary path is known beforehand. It is proved that by using a nonlinear function of the measured error signal in the adaptation process the algorithm will exhibit a robustness property with respect to possible uncertainties in the secondary path model. This algorithm belongs to the class of RLS-type adaptive IIR filters in the modified filtered-x structure, and its stability is analyzed using Lyapanov theory.

AB - In this paper a new robust adaptive IIR filter is designed for active noise and vibration control system. The developed adaptive algorithm has the capability to remain stable, when an upper bound of the uncertainties in the estimated model of the secondary path is known beforehand. It is proved that by using a nonlinear function of the measured error signal in the adaptation process the algorithm will exhibit a robustness property with respect to possible uncertainties in the secondary path model. This algorithm belongs to the class of RLS-type adaptive IIR filters in the modified filtered-x structure, and its stability is analyzed using Lyapanov theory.

KW - ACTIVE NOISE-CONTROL

U2 - 10.1109/ICOSP.2008.4697118

DO - 10.1109/ICOSP.2008.4697118

M3 - Conference contribution/Paper

SN - 978-1-4244-2178-7

SP - 252

EP - 255

BT - Signal Processing, 2008. ICSP 2008. 9th International Conference on

A2 - Yuan, BZ

A2 - Ruan, QQ

A2 - Tang, XF

PB - IEEE

CY - New York

T2 - 9th International Conference on Signal Processing

Y2 - 26 October 2008 through 29 October 2008

ER -

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