Dynamic Regressor Extension and Mixing-based Re-design of Adaptive Observer for Affine Systems

Fuente: arXiv
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Main Author: Tavan, Mehdi
Format: Preprint
Published: 2025
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author Tavan, Mehdi
author_facet Tavan, Mehdi
contents The dynamic regressor extension and mixing procedure is employed to redesign a conventional adaptive observer algorithm for affine systems. A reduced-order observer is designed without the construction of the state transition matrix. The dynamics of the regressor are redesigned to incorporate feedback from its extension, transforming the regressor dynamics into a perturbed damped nonlinear oscillator form. This introduces some flexibility in reducing the degradation of parameter convergence due to the lack of the transition matrix and in enhancing the excitation property of the extension matrix.
format Preprint
id arxiv_https___arxiv_org_abs_2501_15471
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Dynamic Regressor Extension and Mixing-based Re-design of Adaptive Observer for Affine Systems
Tavan, Mehdi
Systems and Control
The dynamic regressor extension and mixing procedure is employed to redesign a conventional adaptive observer algorithm for affine systems. A reduced-order observer is designed without the construction of the state transition matrix. The dynamics of the regressor are redesigned to incorporate feedback from its extension, transforming the regressor dynamics into a perturbed damped nonlinear oscillator form. This introduces some flexibility in reducing the degradation of parameter convergence due to the lack of the transition matrix and in enhancing the excitation property of the extension matrix.
title Dynamic Regressor Extension and Mixing-based Re-design of Adaptive Observer for Affine Systems
topic Systems and Control
url https://arxiv.org/abs/2501.15471