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Generation of new exciting regressors for consistent on-line estimation of unknown constant parameters
- Publication Year :
- 2021
-
Abstract
- The problem of parameter estimation 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.
Details
- Database :
- arXiv
- Publication Type :
- Report
- Accession number :
- edsarx.2104.02210
- Document Type :
- Working Paper