Laguerre-svd Reduced Order Modeling
نویسندگان
چکیده
A reduced order modeling method based on a system description in terms of orthonormal Laguerre functions, together with a Krylov subspace decomposition technique is presented. The link with Padé approximation, the block Arnoldi process and singular value decomposition (SVD) leads to a simple and stable implementation of the algorithm. Novel features of the approach include the determination of the Laguerre parameter as a function of bandwidth and testing the accuracy of the results in terms of both amplitude and phase. Index Terms Reduced order modeling, Laguerre functions, Padé approximation, Singular value decomposition.
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