Interpolatory projection methods for parameterized model reduction
dc.contributor.author | Baur, Ulrike | en |
dc.contributor.author | Beattie, Christopher A. | en |
dc.contributor.author | Benner, Peter | en |
dc.contributor.author | Gugercin, Serkan | en |
dc.contributor.department | Mathematics | en |
dc.date.accessed | 2014-05-27 | en |
dc.date.accessioned | 2014-05-28T18:35:08Z | en |
dc.date.available | 2014-05-28T18:35:08Z | en |
dc.date.issued | 2011 | en |
dc.description.abstract | We provide a unifying projection-based framework for structure-preserving interpolatory model reduction of parameterized linear dynamical systems, i.e., systems having a structured dependence on parameters that we wish to retain in the reduced-order model. The parameter dependence may be linear or nonlinear and is retained in the reduced-order model. Moreover, we are able to give conditions under which the gradient and Hessian of the system response with respect to the system parameters is matched in the reduced-order model. We provide a systematic approach built on established interpolatory H(2) optimal model reduction methods that will produce parameterized reduced-order models having high fidelity throughout a parameter range of interest. For single input/single output systems with parameters in the input/output maps, we provide reduced-order models that are optimal with respect to an H(2) circle times L(2) joint error measure. The capabilities of these approaches are illustrated by several numerical examples from technical applications. | en |
dc.description.sponsorship | DFG BE 2174/7-1 | en |
dc.description.sponsorship | Automatic, Parameter-Preserving Model Reduction for Applications in Microsystems Technology | en |
dc.description.sponsorship | NSF DMS-0505971, DMS-0645347 | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.citation | Baur, U.; Beattie, C.; Benner, P.; Gugercin, S., "Interpolatory projection methods for parameterized model reduction," SIAM J. Sci. Comput., 33(5), 2489-2518, (2011). DOI: 10.1137/090776925 | en |
dc.identifier.doi | https://doi.org/10.1137/090776925 | en |
dc.identifier.issn | 1064-8275 | en |
dc.identifier.uri | http://hdl.handle.net/10919/48155 | en |
dc.identifier.url | http://epubs.siam.org/doi/abs/10.1137/090776925 | en |
dc.language.iso | en | en |
dc.publisher | Siam Publications | en |
dc.rights | In Copyright | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | en |
dc.subject | parameterized model reduction | en |
dc.subject | interpolation | en |
dc.subject | rational krylov | en |
dc.subject | partial-differential-equations | en |
dc.subject | nonlinear dynamical-systems | en |
dc.subject | reduced | en |
dc.subject | basis method | en |
dc.subject | order reduction | en |
dc.subject | approximation | en |
dc.subject | optimization | en |
dc.subject | macromodels | en |
dc.subject | algorithm | en |
dc.subject | networks | en |
dc.subject | mathematics, applied | en |
dc.title | Interpolatory projection methods for parameterized model reduction | en |
dc.title.serial | Siam Journal on Scientific Computing | en |
dc.type | Article - Refereed | en |
dc.type.dcmitype | Text | en |
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