Journal article
Variable gain parameter estimation algorithms for fast tracking and smooth steady state
Automatica (Oxford), Vol.36(7), pp.1001-1008
2000
DOI: 10.1016/S0005-1098(00)00009-1
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.
Details
- Title: Subtitle
- Variable gain parameter estimation algorithms for fast tracking and smooth steady state
- Creators
- Er-Wei Bai - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, USAYih-Fang Huang - Department of Electrical Engineering, University of Notre Dame, Notre Dame, IN 46556, USA
- Resource Type
- Journal article
- Publication Details
- Automatica (Oxford), Vol.36(7), pp.1001-1008
- Publisher
- Elsevier Ltd
- DOI
- 10.1016/S0005-1098(00)00009-1
- ISSN
- 0005-1098
- eISSN
- 1873-2836
- Language
- English
- Date published
- 2000
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984083826802771
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