ℋ₂-optimality conditions for structured dynamical systems / Christopher Beattie, Peter Benner

cbs.date.changed2021-07-27
cbs.date.creation2016-10-21
cbs.picatypeOa
cbs.publication.displayformMagdeburg : Max Planck Institute for Dynamics of Complex Technical Systems, October, 2014
dc.contributor.authorBeattie, Christopher
dc.contributor.authorBenner, Peter
dc.contributor.otherMax-Planck-Institut für Dynamik Komplexer Technischer Systeme
dc.date.accessioned2025-05-29T00:30:24Z
dc.date.issued2014
dc.description.abstractAbstract: Dynamical systems often have structural features that incorporate underlying physics and conservation laws that reflect basic properties of phenomena of interest. Reduced models for these dynamical systems that do not share such key structural features, even if they otherwise have high fidelity, may produce responses that are ``unphysical" and as a result may be unsuitable for use as dependable surrogates. We seek systems that have structure characterized as either port-Hamiltonian or second-order (or both), and that, within the latitude allowed by those constraints, is also a best possible approximation to the original system as discerned by the ℋ₂ error measure. In this work, we develop necessary optimality conditions that must be satisfied by such reduced systems.de
dc.format.extent1 Online-Ressource (26 Seiten = 0,4 MB)
dc.genrebook
dc.identifier.ppn870661248
dc.identifier.urihttps://epflicht.bibliothek.uni-halle.de/handle/123456789/3932
dc.identifier.urnurn:nbn:de:gbv:3:2-64598
dc.identifier.vl-id2483216
dc.language.isoeng
dc.publisherMax Planck Institute for Dynamics of Complex Technical Systems
dc.relation.ispartofseriesMax Planck Institute Magdeburg Preprints ; 14-18 ppn:870173030
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subject.ddc510
dc.titleℋ₂-optimality conditions for structured dynamical systems / Christopher Beattie, Peter Benner
dc.typeBook
dspace.entity.typeMonograph
local.accessrights.itemAnonymous
local.openaccesstrue

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ℋ₂-optimality conditions for structured dynamical systems
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