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Convergence characteristics of the multiple input, multiple output LMS algorithmThe 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.
Document ID
19920045050
Acquisition Source
Legacy CDMS
Document Type
Reprint (Version printed in journal)
Authors
Snyder, Scott D.
(NASA Langley Research Center Hampton, VA, United States)
Hansen, Colin H.
(Adelaide, University Australia)
Clark, Robert L.
(Virginia Polytechnic Institute and State University Blacksburg, United States)
Date Acquired
August 15, 2013
Publication Date
January 1, 1992
Publication Information
Publication: Journal of Intelligent Material Systems and Structures
Volume: 3
ISSN: 1045-389X
Subject Category
Cybernetics
Accession Number
92A27674
Distribution Limits
Public
Copyright
Other

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