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Main Authors: Glushchenko, Anton, Lastochkin, Konstantin
Format: Preprint
Published: 2024
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Online Access:https://arxiv.org/abs/2403.11076
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author Glushchenko, Anton
Lastochkin, Konstantin
author_facet Glushchenko, Anton
Lastochkin, Konstantin
contents In adaptive control theory, the dynamic regressor extension and mixing (DREM) procedure has become widespread as it allows one to describe major of adaptive control problems in unified terms of the parameter estimation problem of a regression equation with a scalar regressor. However, when the system/parameterization is affected by perturbations, the estimation laws, which are designed on the basis of such equation, asymptotically provides only biased estimates. In this paper, based on the bias-eliminated least-squares (BELS) approach, a modification of DREM procedure is proposed to annihilate perturbations asymptotically and, consequently, asymptotically obtain unbiased estimates. The theoretical results are supported with mathematical modelling and can be used to design adaptive observers and control systems.
format Preprint
id arxiv_https___arxiv_org_abs_2403_11076
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Unbiased Parameter Estimation via DREM with Annihilators
Glushchenko, Anton
Lastochkin, Konstantin
Systems and Control
In adaptive control theory, the dynamic regressor extension and mixing (DREM) procedure has become widespread as it allows one to describe major of adaptive control problems in unified terms of the parameter estimation problem of a regression equation with a scalar regressor. However, when the system/parameterization is affected by perturbations, the estimation laws, which are designed on the basis of such equation, asymptotically provides only biased estimates. In this paper, based on the bias-eliminated least-squares (BELS) approach, a modification of DREM procedure is proposed to annihilate perturbations asymptotically and, consequently, asymptotically obtain unbiased estimates. The theoretical results are supported with mathematical modelling and can be used to design adaptive observers and control systems.
title Unbiased Parameter Estimation via DREM with Annihilators
topic Systems and Control
url https://arxiv.org/abs/2403.11076