Model-updating for self-adjoint quadratic eigenvalue problems
β Scribed by Peter Lancaster
- Publisher
- Elsevier Science
- Year
- 2008
- Tongue
- English
- Weight
- 145 KB
- Volume
- 428
- Category
- Article
- ISSN
- 0024-3795
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β¦ Synopsis
This paper concerns quadratic matrix functions of the form L(Ξ») = MΞ» 2 + DΞ» + K where M, D, K are Hermitian n Γ n matrices with M > 0. It is shown how new systems of the same type can be generated with some eigenvalues and/or eigenvectors updated and this is accomplished without "spill-over" (i.e. other spectral data remain undisturbed). Furthermore, symmetry is preserved. The methods also apply for Hermitian matrix polynomials of higher degree.
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Analytical models of linear elastomechanical systems are often updated by model parameter estimation using input}output measurements or modal test results. The structure of the model equations and the parametrisation of the spatially discretised model\*often a sum of matrices multiplied each by a di