The Accuracy and Computational Efficiency of the Loewner Framework for the System Identification of Mechanical Systems
Author:
Affiliation:
1. School of Aerospace, Transport and Manufacturing, Cranfield University, Cranfield MK43 0AL, UK
2. Department of Structural, Geotechnical and Building Engineering, Politecnico di Torino, 10129 Turin, Italy
Abstract
Funder
Engineering and Physical Sciences Research Council
Sustainable Mobility Center
Spoke 7
Work Package 4
Publisher
MDPI AG
Subject
Aerospace Engineering
Link
https://www.mdpi.com/2226-4310/10/6/571/pdf
Reference37 articles.
1. Ljung, L. (1987). System Identification: Theory for the User, Prentice Hall. [1st ed.].
2. A machine learning approach for automatic operational modal analysis;Mugnaini;Mech. Syst. Signal Process.,2022
3. Dessena, G., Ignatyev, D.I., Whidborne, J.F., Pontillo, A., and Zanotti Fragonara, L. (2022, January 4–9). Ground vibration testing of a high aspect ratio wing with revolving clamp. Proceedings of the 33rd Congress of the International Council of the Aeronautical Sciences, Stockholm, Sweden.
4. Dessena, G., Ignatyev, D.I., Whidborne, J.F., Pontillo, A., and Zanotti Fragonara, L. (2022). Ground vibration testing of a flexible wing: A benchmark and case study. Aerospace, 9.
5. System identification via fast relaxed vector fitting for the structural health monitoring of masonry bridges;Civera;Structures,2021
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