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Main Authors: Abdalmoaty, Mohamed, Smith, Roy S.
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2403.15771
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author Abdalmoaty, Mohamed
Smith, Roy S.
author_facet Abdalmoaty, Mohamed
Smith, Roy S.
contents We revisit the problem of non-parametric closed-loop identification in frequency domain; we give a brief survey of the literature and provide a small noise analysis of the direct, indirect, and joint input-output methods when two independent experiments with identical excitation are used. The analysis is asymptotic in the noise variance (i.e., as the standard deviation of the innovations $σ\to 0$), for a finite data record of length $N$. We highlight the relationship between the estimators accuracy and the loop shape via asymptotic variance expressions given in terms of the sensitivity function. The results are illustrated using a numerical simulation example.
format Preprint
id arxiv_https___arxiv_org_abs_2403_15771
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Small Noise Analysis of Non-Parametric Closed-Loop Identification
Abdalmoaty, Mohamed
Smith, Roy S.
Systems and Control
We revisit the problem of non-parametric closed-loop identification in frequency domain; we give a brief survey of the literature and provide a small noise analysis of the direct, indirect, and joint input-output methods when two independent experiments with identical excitation are used. The analysis is asymptotic in the noise variance (i.e., as the standard deviation of the innovations $σ\to 0$), for a finite data record of length $N$. We highlight the relationship between the estimators accuracy and the loop shape via asymptotic variance expressions given in terms of the sensitivity function. The results are illustrated using a numerical simulation example.
title Small Noise Analysis of Non-Parametric Closed-Loop Identification
topic Systems and Control
url https://arxiv.org/abs/2403.15771