D-Optimized Sampling Design for System Identification

Fuente: arXiv
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Hauptverfasser: Dozzi, Enrico, Oomen, Tom, González, Rodrigo A.
Format: Preprint
Veröffentlicht: 2026
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author Dozzi, Enrico
Oomen, Tom
González, Rodrigo A.
author_facet Dozzi, Enrico
Oomen, Tom
González, Rodrigo A.
contents Traditional system identification with multisine inputs relies on uniform sampling and periodic excitation to preserve Fourier orthogonality and avoid spectral leakage, limiting its use in scenarios with irregular sampling or nonperiodic inputs. This work investigates continuous-time system identification under nonperiodic multisine excitation and nonuniform sampling. We develop a nonparametric frequency response function estimator suited to such conditions and design irregular sampling schemes that enhance the informativeness of measurements and reduce spectral leakage. The proposed sampling scheme improve the statistical accuracy of system identification in settings where periodic excitation is impractical.
format Preprint
id arxiv_https___arxiv_org_abs_2605_13120
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle D-Optimized Sampling Design for System Identification
Dozzi, Enrico
Oomen, Tom
González, Rodrigo A.
Systems and Control
Optimization and Control
Traditional system identification with multisine inputs relies on uniform sampling and periodic excitation to preserve Fourier orthogonality and avoid spectral leakage, limiting its use in scenarios with irregular sampling or nonperiodic inputs. This work investigates continuous-time system identification under nonperiodic multisine excitation and nonuniform sampling. We develop a nonparametric frequency response function estimator suited to such conditions and design irregular sampling schemes that enhance the informativeness of measurements and reduce spectral leakage. The proposed sampling scheme improve the statistical accuracy of system identification in settings where periodic excitation is impractical.
title D-Optimized Sampling Design for System Identification
topic Systems and Control
Optimization and Control
url https://arxiv.org/abs/2605.13120