A tutorial on the Loewner-based system identification and structural health monitoring approach for mechanical systems.

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dc.contributor.authorDessena, Gabriele
dc.date.accessioned2024-06-12T12:56:07Z
dc.date.available2024-06-12T12:56:07Z
dc.date.issued2023-04-19 09:14
dc.description.abstractThe tutorial should be considered complementary material for the article "A Loewner-based system identification and structural health monitoring approach for mechanical systems" (DOI: 10.1155/2023/1891062). The tutorial illustrates, via a simple example, the capability of the Loewner Framework for System Identification and Structural Health Monitoring. The second goal of this tutorial is to make available a Loewner Framework program for MATLAB to the public based on the published work. Please cite [1-5] when using this software for your work or research, Thank you. This tutorial is linked to the following article: G. Dessena, M. Civera, L. Zanotti Fragonara, D. I. Ignatyev, J. F. Whidborne, A Loewner-based system identification and structural health monitoring approach for mechanical systems, Structural Control and Health Monitoring, Vol. 2023 (2023). (DOI: 10.1155/2023/1891062) The repository entry contains five files: 1. data_9dof.mat: the data for the tutorial model; 2. LF_id.m: the script for the LF-based System Identification; 3. loewner.m: the Loewner Matrix function; 4. LF_tutorial.mlx: the LF tutorial in MATLAB live mode 5. LF_tutorial.pdf: the LF tutorial in pdf. The program was created in MATLAB 2020a, compatibility with earlier or later versions is not guaranteed. References [1] G. Dessena, M. Civera, L. Zanotti Fragonara, D. I. Ignatyev, J. F. Whidborne, A Loewner-based system identification and structural health monitoring approach for mechanical systems, Structural Control and Health Monitoring, Vol. 2023 (2023). (DOI: 10.1155/2023/1891062) [2] G. Dessena, A Loewner-based system identification and structural health monitoring approach for mechanical systems, CORD repository (2021) (DOI: 10.17862/cranfield.rd.16636279) [3] A. J. Mayo, A. C. Antoulas, A framework for the solution of the generalized realization problem, Linear Algebra and its Applications 425, pp. 634–662 (2007). (DOI:10.1016/j.laa.2007.03.008) [4] S. Lefteriu, A. C. Antoulas, A New Approach to Modeling Multiport Systems From Frequency-Domain Data, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 29, No. 1, pp. 14–27 (2010). (DOI: 10.1109/TCAD.2009.2034500) [5] S. Lefteriu, A. C. Ionita, A. C. Antoulas, Modeling Systems Based on Noisy Frequency and Time Domain Measurements, Lecture Notes in Control and Information Sciences, vol. 398/2010, 365-368 (2010). (DOI: 10.1007/978-3-540-93918-4_33)
dc.description.sponsorship'Non-linear model reduction for flexible structures'
dc.identifier.citationDessena, Gabriele (2023). A tutorial on the Loewner-based system identification and structural health monitoring approach for mechanical systems.. Cranfield Online Research Data (CORD). Software. https://doi.org/10.17862/cranfield.rd.16636279
dc.identifier.doi10.17862/cranfield.rd.16636279
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/22465
dc.publisherCranfield University
dc.relation.supplementshttps://doi.org/10.1155/2023/1891062'
dc.relation.supplements'https://doi.org/10.1016/j.laa.2007.03.008'
dc.relation.supplements'https://doi.org/10.1109/TCAD.2009.2034500'
dc.relation.supplements'https://doi.org/10.1007/978-3-540-93918-4_33'
dc.relation.supplements'https://doi.org/10.1155/2023/1891062'
dc.rightsGPL
dc.rights.urihttps://www.gnu.org/copyleft/gpl.html
dc.subjectLoewner Matrix'
dc.subject'Loewner Framework'
dc.subject'Realization Problem'
dc.subject'System Identification'
dc.subject'Structural Health Monitoring'
dc.subject'Frequency Response Functions'
dc.subject'Modal Analysis'
dc.subject'Simulation and Modelling'
dc.titleA tutorial on the Loewner-based system identification and structural health monitoring approach for mechanical systems.
dc.typeSoftware

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