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Admittance identification from point-wise sound pressure measurements using reduced-order modelling

Admittance identification from point-wise sound pressure measurements using reduced-order modelling

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VOLKWEIN, Stefan, 2010. Admittance identification from point-wise sound pressure measurements using reduced-order modelling. In: Journal of Optimization Theory and Applications. 147(1), pp. 169-193. ISSN 0022-3239

@article{Volkwein2010Admit-12763, title={Admittance identification from point-wise sound pressure measurements using reduced-order modelling}, year={2010}, doi={10.1007/s10957-010-9704-3}, number={1}, volume={147}, issn={0022-3239}, journal={Journal of Optimization Theory and Applications}, pages={169--193}, author={Volkwein, Stefan} }

<rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:bibo="http://purl.org/ontology/bibo/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" > <rdf:Description rdf:about="https://kops.uni-konstanz.de/rdf/resource/123456789/12763"> <dcterms:title>Admittance identification from point-wise sound pressure measurements using reduced-order modelling</dcterms:title> <dc:contributor>Volkwein, Stefan</dc:contributor> <dc:language>eng</dc:language> <dc:rights>deposit-license</dc:rights> <dc:date rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-07-18T08:08:15Z</dc:date> <dcterms:available rdf:datatype="http://www.w3.org/2001/XMLSchema#dateTime">2011-07-18T08:08:15Z</dcterms:available> <dcterms:bibliographicCitation>First publ. in: Journal of Optimization Theory and Applications 147 (2010), 1, pp. 169-193</dcterms:bibliographicCitation> <dc:creator>Volkwein, Stefan</dc:creator> <dcterms:abstract xml:lang="eng">In this work an acoustic application is studied. The goal is to estimate the complex-valued admittance from given point measurements of the sound pressure. This parameter identification problem is formulated in terms of an infinite-dimensional optimization problem. First- and second-order optimality conditions are discussed. For the numerical realization a reduced-order model based on proper orthogonal decomposition is used. Numerical examples illustrate the efficiency of the proposed approach.</dcterms:abstract> <dcterms:issued>2010</dcterms:issued> <dcterms:rights rdf:resource="http://nbn-resolving.org/urn:nbn:de:bsz:352-20140905103605204-4002607-1"/> <bibo:uri rdf:resource="http://kops.uni-konstanz.de/handle/123456789/12763"/> </rdf:Description> </rdf:RDF>

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