The 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.
The Accuracy and Computational Efficiency of the Loewner Framework for the System Identification of Mechanical Systems / Dessena, Gabriele; Civera, Marco; Ignatyev, Dmitry I.; Whidborne, James F.; Zanotti Fragonara, Luca; Chiaia, Bernardino. - In: AEROSPACE. - ISSN 2226-4310. - 10:6(2023), pp. 1-20. [10.3390/aerospace10060571]
The Accuracy and Computational Efficiency of the Loewner Framework for the System Identification of Mechanical Systems
Civera, Marco;Zanotti Fragonara, Luca;Chiaia, Bernardino
2023
Abstract
The 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.File | Dimensione | Formato | |
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https://hdl.handle.net/11583/2989473