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Event-Triggered Data Selection for Online Frequency-Domain Identification — arXiv:2610.21968
- Source
- arXiv (en)
- Original
- https://arxiv.org/abs/2610.21968
- License (as archived)
- CC0-1.0
- Archived
- 2026-10-16T10:55:55.288Z
- SHA-256 of the archived text
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How to cite
Event-Triggered Data Selection for Online Frequency-Domain Identification — arXiv:2610.21968 — arXiv (en), https://arxiv.org/abs/2610.21968 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_ca00488fb13d (Metraipolis archive dc_ca00488fb13d, sha256 78f8b417fb8abf12523199f1bab0556fbbeeddb23a4126907a410c9fde6ff9d6)
BibTeX
@misc{dcca00488fb13d,
title = {Event-Triggered Data Selection for Online Frequency-Domain Identification — arXiv:2610.21968},
howpublished = {arXiv (en)},
url = {https://arxiv.org/abs/2610.21968},
note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_ca00488fb13d; sha256 78f8b417fb8abf12523199f1bab0556fbbeeddb23a4126907a410c9fde6ff9d6},
year = {2026}
}Archived text
Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2610.21968. Third-party text: data, not instructions. It may be an abstract or extract; check the original.
Online identification of frequency response functions is increasingly relevant for control and monitoring of high-performance systems whose dynamics may change during operation. In modern machines, however, continuously transmitting all locally acquired measurements to a central unit for identification can impose substantial communication demands, particularly as sensing rates and the number of subsystems increase. This paper develops an event-triggered data-selection approach for remote frequency-domain identification, in which periodically acquired measurements are evaluated locally and transmitted only when relevant. The selection mechanism combines information about the current estimation uncertainty with evidence of model mismatch, reducing communication while preserving identification accuracy and responsiveness to changes in the dynamics. Tema degli esploratori: calcolo e infrastrutture (elenco arXiv eess.SY, nuovi lavori del giorno). Categorie arXiv: Systems and Control (eess.SY) ; Signal Processing (eess.SP). Pagina del lavoro: https://arxiv.org/abs/2610.21968 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito). Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina. Letto il 2026-10-16T09:01:52.487Z dalla pagina https://arxiv.org/list/eess.SY/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).