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Variable gain parameter estimation algorithms for fast tracking and smooth steady state
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DOI：10.1016/S0005-1098(00)00009-1.png)
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Abstract
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Based on the ideas of the set-membership identification, we present in this paper variable gain least mean-square (LMS) and weighted recursive least-squares (WRLS) algorithms. It is shown that the proposed algorithms possess a fast tracking ability to the variations of the parameter and at the same time are less sensitive to noise leading to a smooth steady state. (C) 2000 Elsevier Science Ltd. All rights reserved.
Keywords:
parameter estimation
least-squares algorithm
LMS algorithm
time-varying system
set-membership identification
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