Abstract
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.
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