LMI Design of Frequency Selective LMS Adaptive Filters and Its Application to Active Noise Control

• Wakasa Yuji

  Yamaguchi University

• Izumi Tatsuya

  Sumitomo Electric Industries, Ltd.

• Yamamoto Yutaka

  Kyoto University

Bibliographic Information

Other Title

• 周波数選択ＬＭＳ適応フィルタのＬＭＩ設計とアクティブ騒音制御への応用
• シュウハスウ センタク LMS テキオウ フィルタ ノ LMI セッケイ ト アクティブ ソウオン セイギョ エ ノ オウヨウ

Abstract

Recently, a frequency selective adaptive filter design method for active noise control has been proposed based on the so-called least mean square algorithm. However, this method does not sufficiently exploit the degree of freedom of the step parameter of the recursive rule in the case where a priori information on an uncertain plant is available. This paper proposes a design method of the step parameter such that noise cancellation is guaranteed against the plant uncertainty. The design problem of the step parameter is reduced to an optimization problem involving linear matrix inequalities and is efficiently solvable. Experimental results are provided to illustrate the effectiveness of the proposed method.

Journal

• IEEJ Transactions on Electronics, Information and Systems

  IEEJ Transactions on Electronics, Information and Systems 126 (5), 609-616, 2006

  The Institute of Electrical Engineers of Japan

Keywords

• LMS algorithm
• adaptive signal processing
• active noise control
• linear matrix inequality
• robust control

Details

• CRID: 1390282679582076160
• NII Article ID: 10018111409
• NII Book ID: AN10065950
• DOI: 10.1541/ieejeiss.126.609
• ISSN: 13488155
• ISSN: 03854221
• NDL BIB ID: 7947092
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I7947092
• Web Site: http://www.jstage.jst.go.jp/article/ieejeiss/126/5/126_5_609/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed