Abstract
Abstract In this paper, a review of Gramian-based minimal realization algorithms is presented, several comments regarding their properties are given and the ill-condition and efficiency that arise in balancing of large-scale realizations is being addressed. A new algorithm to treat non-minimal realization of very large second-order systems with dense clusters of close eigenvalues is proposed. The method benefits the effectiveness of balancing techniques in treating of non-minimal realizations in combination with the computational efficiency of modal techniques to treat large-scale problems.
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Notes
- 1.
The \(\mathcal{L}_{p}\) norm is the Lebesgue spaces p-norm defined for real-valued functions.
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© 2014 The Society for Experimental Mechanics
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Rahrovani, S., Vakilzadeh, M.K., Abrahamsson, T. (2014). On Gramian-Based Techniques for Minimal Realization of Large-Scale Mechanical Systems. In: Allemang, R., De Clerck, J., Niezrecki, C., Wicks, A. (eds) Topics in Modal Analysis, Volume 7. Conference Proceedings of the Society for Experimental Mechanics Series. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-6585-0_75
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