This Article Full Text (PDF) References Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via Google Scholar Citing Articles via Scopus Google Scholar Articles by Snyder, S. D. Articles by Clark, R. L. Search for Related Content Social Bookmarking                         What's this?

Convergence Characteristics of the Multiple Input, Multiple Output LMS Algorithm

Department of Mechanical Engineering University of Adelaide GPO Box 498 Adelaide, SA 5001, Australia

Colin H. Hansen

Department of Mechanical Engineering University of Adelaide GPO Box 498 Adelaide, SA 5001, Australia

Robert L. Clark

Department of Mechanical Engineering VPI&SU Blacksburg, VA 24061, U.S.A.

The convergence characteristics of the multiple input, multiple output LMS algorithm, as applied to active noise and vibration control systems, are examined. The mean square error during the convergence process, as well as the final converged value, are examined analytically and in computer simulation. It is shown that the ratio of number of error sensors to number of control sources has a significant influence upon both the converging and converged value of the mean square error. Other active control system variables, such as the inherent time delays and structural/acoustic transfer functions, are also shown to have a significant influence upon the convergence process.

Key Words: active noise control • active vibration control • adaptive algorithms.

Journal of Intelligent Material Systems and Structures, Vol. 3, No. 1, 115-133 (1992)
DOI: 10.1177/1045389X9200300107


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?