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Article: Mixed optimization approach to model approximation of descriptor systems
Title | Mixed optimization approach to model approximation of descriptor systems |
---|---|
Authors | |
Keywords | Descriptor Systems H2 Norm Hilbert-Schmidt Norm Model Approximation |
Issue Date | 2006 |
Publisher | Springer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0022-3239 |
Citation | Journal Of Optimization Theory And Applications, 2006, v. 131 n. 2, p. 265-280 How to Cite? |
Abstract | A mixed optimal model approximation is presented to obtain reduced-order models for truly fast descriptor systems. By a projection from truly fast descriptor systems to discrete-time systems, a mixed optimal model approximation for truly fast descriptor systems is transformed to a mixed optimal model approximation of the corresponding discrete-time systems. The structure of the fast descriptor systems is preserved in the model approximation procedure. The expression of the error and its gradient are given explicitly in terms of the solutions of certain Lyapunov equations. A numerical example is provided to illustrate the effectiveness of the proposed method. © 2006 Springer Science + Business Media, Inc. |
Persistent Identifier | http://hdl.handle.net/10722/156868 |
ISSN | 2023 Impact Factor: 1.6 2023 SCImago Journal Rankings: 0.864 |
ISI Accession Number ID | |
References |
DC Field | Value | Language |
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dc.contributor.author | Wang, Q | en_US |
dc.contributor.author | Lam, J | en_US |
dc.contributor.author | Zhang, QL | en_US |
dc.contributor.author | Wang, QY | en_US |
dc.date.accessioned | 2012-08-08T08:44:21Z | - |
dc.date.available | 2012-08-08T08:44:21Z | - |
dc.date.issued | 2006 | en_US |
dc.identifier.citation | Journal Of Optimization Theory And Applications, 2006, v. 131 n. 2, p. 265-280 | en_US |
dc.identifier.issn | 0022-3239 | en_US |
dc.identifier.uri | http://hdl.handle.net/10722/156868 | - |
dc.description.abstract | A mixed optimal model approximation is presented to obtain reduced-order models for truly fast descriptor systems. By a projection from truly fast descriptor systems to discrete-time systems, a mixed optimal model approximation for truly fast descriptor systems is transformed to a mixed optimal model approximation of the corresponding discrete-time systems. The structure of the fast descriptor systems is preserved in the model approximation procedure. The expression of the error and its gradient are given explicitly in terms of the solutions of certain Lyapunov equations. A numerical example is provided to illustrate the effectiveness of the proposed method. © 2006 Springer Science + Business Media, Inc. | en_US |
dc.language | eng | en_US |
dc.publisher | Springer New York LLC. The Journal's web site is located at http://springerlink.metapress.com/openurl.asp?genre=journal&issn=0022-3239 | en_US |
dc.relation.ispartof | Journal of Optimization Theory and Applications | en_US |
dc.subject | Descriptor Systems | en_US |
dc.subject | H2 Norm | en_US |
dc.subject | Hilbert-Schmidt Norm | en_US |
dc.subject | Model Approximation | en_US |
dc.title | Mixed optimization approach to model approximation of descriptor systems | en_US |
dc.type | Article | en_US |
dc.identifier.email | Lam, J:james.lam@hku.hk | en_US |
dc.identifier.authority | Lam, J=rp00133 | en_US |
dc.description.nature | link_to_subscribed_fulltext | en_US |
dc.identifier.doi | 10.1007/s10957-006-9137-1 | en_US |
dc.identifier.scopus | eid_2-s2.0-33845669930 | en_US |
dc.relation.references | http://www.scopus.com/mlt/select.url?eid=2-s2.0-33845669930&selection=ref&src=s&origin=recordpage | en_US |
dc.identifier.volume | 131 | en_US |
dc.identifier.issue | 2 | en_US |
dc.identifier.spage | 265 | en_US |
dc.identifier.epage | 280 | en_US |
dc.identifier.isi | WOS:000242829500007 | - |
dc.publisher.place | United States | en_US |
dc.identifier.scopusauthorid | Wang, Q=23471051300 | en_US |
dc.identifier.scopusauthorid | Lam, J=7201973414 | en_US |
dc.identifier.scopusauthorid | Zhang, QL=7406719568 | en_US |
dc.identifier.scopusauthorid | Wang, QY=15726932200 | en_US |
dc.identifier.issnl | 0022-3239 | - |