Journal article
Characterizing persistent excitation for the sign-sign equation error identifier
Automatica (Oxford), Vol.29(6), pp.1473-1489
1993
DOI: 10.1016/0005-1098(93)90011-H
Abstract
The sign-sign (SS) algorithm is a computationally efficient adaptive identifier, often used in signal processing tasks. It is obtained by introducing signum functions on both the regressor and the prediction error multiplicands in the update kernel of the well-known LMS algorithm. This paper gives a deterministic persistent excitation condition on the regressor sequence which guarantees SS convergence. It also gives conditions under which SS may diverge, and discusses how these persistent excitation conditions may be verified through a finite amount of computations.
Details
- Title: Subtitle
- Characterizing persistent excitation for the sign-sign equation error identifier
- Creators
- Soura Dasgupta - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, U.S.AC.Richard Johnson - School of Electrical Engineering, Cornell University, Ithaca, NY 14853, U.S.AA.Mayalar Baksho - Department of Electrical and Computer Engineering, University of Iowa, Iowa City, IA 52242, U.S.A
- Resource Type
- Journal article
- Publication Details
- Automatica (Oxford), Vol.29(6), pp.1473-1489
- Publisher
- Elsevier Ltd
- DOI
- 10.1016/0005-1098(93)90011-H
- ISSN
- 0005-1098
- eISSN
- 1873-2836
- Language
- English
- Date published
- 1993
- Academic Unit
- Electrical and Computer Engineering
- Record Identifier
- 9984083206202771
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