A-posteriori error estimation of discrete POD models for PDE-constrained optimal control
A-posteriori error estimation of discrete POD models for PDE-constrained optimal control
dc.contributor.author | Gubisch, Martin | |
dc.contributor.author | Neitzel, Ira | |
dc.contributor.author | Volkwein, Stefan | |
dc.date.accessioned | 2024-08-15T11:16:00Z | |
dc.date.available | 2024-08-15T11:16:00Z | |
dc.date.issued | 03.2016 | |
dc.identifier.uri | https://hdl.handle.net/20.500.11811/11852 | |
dc.description.abstract | In this work a-posteriori error estimates for linear-quadratic optimal control problems governed by parabolic equations are considered. Different error estimation techniques for finite element discretizations and model-order reduction are combined to validate suboptimal control solutions from low-order models which are constructed by Galerkin discretization and application of proper orthogonal decomposition (POD). The theoretical findings are used to design an efficient updating algorithm for the reduced-order models; the efficiency and accuracy is illustrated by numerical experiments. | en |
dc.format.extent | 25 | |
dc.language.iso | eng | |
dc.relation.ispartofseries | INS Preprints ; 1608 | |
dc.rights | In Copyright | |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
dc.subject | Proper Orthogonal Decomposition (POD) | |
dc.subject | Reduced Order Model (ROM) | |
dc.subject | Discretization Error Estimates | |
dc.subject | Optimal Control Problem | |
dc.subject | Partial Differential Equations (PDEs) | |
dc.subject.ddc | 510 Mathematik | |
dc.subject.ddc | 518 Numerische Analysis | |
dc.title | A-posteriori error estimation of discrete POD models for PDE-constrained optimal control | |
dc.type | Preprint | |
dc.publisher.name | Institut für Numerische Simulation (INS) | |
dc.publisher.location | Bonn | |
dc.rights.accessRights | openAccess | |
dc.relation.doi | https://doi.org/10.1007/978-3-319-58786-8_14 | |
ulbbn.pubtype | Zweitveröffentlichung | |
dcterms.bibliographicCitation.url | https://ins.uni-bonn.de/publication/preprints |
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