New robust adaptive algorithm for multichannel adaptive active noise control

Fan Jiang, Masahiro Bunya, Hiromitsu Ohmori, Akira Sano

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

The adaptive active noise control problem of a multichannel system is studied in this paper. The general structure of the multichannel active noise control system is clarified and the perfect cancellation condition by feed-forward control is analyzed. A new LMS type of robust multichannel adaptive algorithm for updating the feedforward controllers is proposed which can assure the stability of the adaptation and keep each cancelling error within a tight bound by efficiently using prior information of each upper bound of the uncertainty terms. The algorithm is scalar-normalized which does not need to calculate the inverse matrix. A fully adaptive scheme of dealing with the case that all the channel dynamics are unknown and changeable is also presented. The proposed robust algorithm is examined and validated in the experiment of noise attenuation for an air duct system.

Original languageEnglish
Title of host publicationIEEE Conference on Control Applications - Proceedings
Editors Anon
PublisherIEEE
Pages528-533
Number of pages6
Publication statusPublished - 1997
EventProceedings of the 1997 IEEE International Conference on Control Applications - Hartford, CT, USA
Duration: 1997 Oct 51997 Oct 7

Other

OtherProceedings of the 1997 IEEE International Conference on Control Applications
CityHartford, CT, USA
Period97/10/597/10/7

Fingerprint

Active noise control
Adaptive algorithms
Feedforward control
Ducts
Control systems
Controllers
Air
Experiments
Uncertainty

ASJC Scopus subject areas

  • Control and Systems Engineering

Cite this

Jiang, F., Bunya, M., Ohmori, H., & Sano, A. (1997). New robust adaptive algorithm for multichannel adaptive active noise control. In Anon (Ed.), IEEE Conference on Control Applications - Proceedings (pp. 528-533). IEEE.

New robust adaptive algorithm for multichannel adaptive active noise control. / Jiang, Fan; Bunya, Masahiro; Ohmori, Hiromitsu; Sano, Akira.

IEEE Conference on Control Applications - Proceedings. ed. / Anon. IEEE, 1997. p. 528-533.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jiang, F, Bunya, M, Ohmori, H & Sano, A 1997, New robust adaptive algorithm for multichannel adaptive active noise control. in Anon (ed.), IEEE Conference on Control Applications - Proceedings. IEEE, pp. 528-533, Proceedings of the 1997 IEEE International Conference on Control Applications, Hartford, CT, USA, 97/10/5.
Jiang F, Bunya M, Ohmori H, Sano A. New robust adaptive algorithm for multichannel adaptive active noise control. In Anon, editor, IEEE Conference on Control Applications - Proceedings. IEEE. 1997. p. 528-533
Jiang, Fan ; Bunya, Masahiro ; Ohmori, Hiromitsu ; Sano, Akira. / New robust adaptive algorithm for multichannel adaptive active noise control. IEEE Conference on Control Applications - Proceedings. editor / Anon. IEEE, 1997. pp. 528-533
@inproceedings{fd9bf1d2c9d04801808c7e6f1e43ce7a,
title = "New robust adaptive algorithm for multichannel adaptive active noise control",
abstract = "The adaptive active noise control problem of a multichannel system is studied in this paper. The general structure of the multichannel active noise control system is clarified and the perfect cancellation condition by feed-forward control is analyzed. A new LMS type of robust multichannel adaptive algorithm for updating the feedforward controllers is proposed which can assure the stability of the adaptation and keep each cancelling error within a tight bound by efficiently using prior information of each upper bound of the uncertainty terms. The algorithm is scalar-normalized which does not need to calculate the inverse matrix. A fully adaptive scheme of dealing with the case that all the channel dynamics are unknown and changeable is also presented. The proposed robust algorithm is examined and validated in the experiment of noise attenuation for an air duct system.",
author = "Fan Jiang and Masahiro Bunya and Hiromitsu Ohmori and Akira Sano",
year = "1997",
language = "English",
pages = "528--533",
editor = "Anon",
booktitle = "IEEE Conference on Control Applications - Proceedings",
publisher = "IEEE",

}

TY - GEN

T1 - New robust adaptive algorithm for multichannel adaptive active noise control

AU - Jiang, Fan

AU - Bunya, Masahiro

AU - Ohmori, Hiromitsu

AU - Sano, Akira

PY - 1997

Y1 - 1997

N2 - The adaptive active noise control problem of a multichannel system is studied in this paper. The general structure of the multichannel active noise control system is clarified and the perfect cancellation condition by feed-forward control is analyzed. A new LMS type of robust multichannel adaptive algorithm for updating the feedforward controllers is proposed which can assure the stability of the adaptation and keep each cancelling error within a tight bound by efficiently using prior information of each upper bound of the uncertainty terms. The algorithm is scalar-normalized which does not need to calculate the inverse matrix. A fully adaptive scheme of dealing with the case that all the channel dynamics are unknown and changeable is also presented. The proposed robust algorithm is examined and validated in the experiment of noise attenuation for an air duct system.

AB - The adaptive active noise control problem of a multichannel system is studied in this paper. The general structure of the multichannel active noise control system is clarified and the perfect cancellation condition by feed-forward control is analyzed. A new LMS type of robust multichannel adaptive algorithm for updating the feedforward controllers is proposed which can assure the stability of the adaptation and keep each cancelling error within a tight bound by efficiently using prior information of each upper bound of the uncertainty terms. The algorithm is scalar-normalized which does not need to calculate the inverse matrix. A fully adaptive scheme of dealing with the case that all the channel dynamics are unknown and changeable is also presented. The proposed robust algorithm is examined and validated in the experiment of noise attenuation for an air duct system.

UR - http://www.scopus.com/inward/record.url?scp=0031334157&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0031334157&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0031334157

SP - 528

EP - 533

BT - IEEE Conference on Control Applications - Proceedings

A2 - Anon, null

PB - IEEE

ER -