Abstract
Loewner framework is a technique that uses frequency response data to construct a reduced order model of a given system. In the past, it has been employed in many different synthetic problems and applications like beams. In this work, we exploit the tool on a new problem, namely the data pertaining to the structural vibrations in the Russian Service module. Loewner model uses just 100 modes to find a reduced order model that performs almost as good as the original system that has a state dimension of 270. We also show how the poles are computable from the eigendecomposition of some of the system matrices.
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Alam, S., Murshed, M.N. (2023). Reduced-Order Model of the Russian Service Module via Loewner Framework. In: Uddin, M.S., Bansal, J.C. (eds) Proceedings of International Joint Conference on Advances in Computational Intelligence. IJCACI 2022. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-99-1435-7_42
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DOI: https://doi.org/10.1007/978-981-99-1435-7_42
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