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Generation of New Exciting Regressors for Consistent Online Estimation of Unknown Constant Parameters.
- Source :
-
IEEE Transactions on Automatic Control . Sep2022, Vol. 67 Issue 9, p4746-4753. 8p. - Publication Year :
- 2022
-
Abstract
- The problem of estimating constant parameters from a standard vector linear regression equation in the absence of sufficient excitation in the regressor is addressed. The first step to solve the problem consists in transforming this equation into a set of scalar ones using the well-known dynamic regressor extension and mixing technique. Then, a novel procedure to generate new scalar exciting regressors is proposed. The superior performance of a classical gradient estimator using this new regressor, instead of the original one, is illustrated with comprehensive simulations. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00189286
- Volume :
- 67
- Issue :
- 9
- Database :
- Academic Search Index
- Journal :
- IEEE Transactions on Automatic Control
- Publication Type :
- Periodical
- Accession number :
- 158870133
- Full Text :
- https://doi.org/10.1109/TAC.2022.3159568