A note on the convergence of a class of adaptive optimal identifiers
Systems and Control
2023-06-19 v1 Systems and Control
Abstract
This paper proposes a unifying framework for the convergence analysis of a class of adaptive optimal identifiers. The considered class of identifiers is constructed from the sequence of minimizing sets of a family of objective functions. For the purpose of the analysis we introduce a generalized version of the classical persistence of excitation condition. Based on this an Input-to-State-Stability (ISS)-type of property is derived for the studied class of adaptive estimators.
Keywords
Cite
@article{arxiv.2306.09840,
title = {A note on the convergence of a class of adaptive optimal identifiers},
author = {Laurent Bako},
journal= {arXiv preprint arXiv:2306.09840},
year = {2023}
}
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5 pages