Dessena, GabrieleCivera, MarcoIgnatyev, DmitryWhidborne, James F.Zanotti Fragonara, LucaChiaia, Bernardino2023-06-272023-06-272023-06-20Dessena G, Civera M, Ignatyev DI, et al., (2023) The accuracy and computational efficiency of the Loewner framework for the system identification of mechanical systems, Aerospace, Volume 10, Issue 6, June 2023, Article Number 5712226-4310https://doi.org/10.3390/aerospace10060571https://dspace.lib.cranfield.ac.uk/handle/1826/19895The Loewner framework has recently been proposed for the system identification of mechanical systems, mitigating the limitations of current frequency domain fitting processes for the extraction of modal parameters. In this work, the Loewner framework computational performance, in terms of the elapsed time till identification, is assessed. This is investigated on a hybrid, numerical and experimental dataset against two well-established system identification methods (least-squares complex exponential, LSCE, and subspace state space system identification, N4SID). Good results are achieved, in terms of better accuracy than LSCE and better computational performance than N4SID.enAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/Loewner matrixLoewner frameworksystem identificationfrequency response functionsmodal analysisexperimental modal analysisstructural dynamicstangential interpolationdamage detectionstructural health monitoringArticle