On Preserving-Excitation Properties of Kreisselmeier’s Regressor Extension Scheme
Author(s) -
Stanislav Aranovskiy,
Rosane Ushirobira,
Marina Korotina,
Alexey Vedyakov
Publication year - 2022
Publication title -
ieee transactions on automatic control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.436
H-Index - 294
eISSN - 1558-2523
pISSN - 0018-9286
DOI - 10.1109/tac.2022.3172175
Subject(s) - signal processing and analysis
In this article, we consider the excitation preservation problem of Kreisselmeier’s regressor extension scheme. We analyze this problem within the context of the dynamic regressor extension and mixing procedure. The well-known qualitative result is that such a scheme preserves excitation. We perform a quantitative analysis and derive lower bounds on the resulting regressor signal considering both persistent and interval excitation cases. We also show that the resulting signal is excited if and only if the original regressor is. Studying the dynamics of the novel regressor, we provide a lower bound on its derivative. Illustrative simulations support our theoretical results.
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