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Sampling method for linear system reduction

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dc.contributor.author Therapos, CP en
dc.contributor.author Diamessis, JE en
dc.date.accessioned 2014-03-01T01:06:19Z
dc.date.available 2014-03-01T01:06:19Z
dc.date.issued 1984 en
dc.identifier.issn 0016-0032 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/9311
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-0021423305&partnerID=40&md5=16531cb59d21e3b8c1ebffa9379e06da en
dc.subject.classification Automation & Control Systems en
dc.subject.classification Engineering, Multidisciplinary en
dc.subject.classification Engineering, Electrical & Electronic en
dc.subject.classification Mathematics, Interdisciplinary Applications en
dc.subject.other CONTROL SYSTEMS - Controllability en
dc.subject.other MATHEMATICAL TECHNIQUES - Approximation Theory en
dc.subject.other MATHEMATICAL PROGRAMMING, LINEAR en
dc.title Sampling method for linear system reduction en
heal.type journalArticle en
heal.language English en
heal.publicationDate 1984 en
heal.abstract A new method for obtaining reduced order models for single-input-single-output, continuous-time systems is presented. The proposed algorithm matches the transfer functions of the original and the reduced system at 2M points where M is the order of the reduced model. The location of these points depends on a parameter which can be selected to control the accuracy of the approximation and stability. Numerical examples and comparisons with other methods of model reduction are given. © 1984. en
heal.publisher PERGAMON-ELSEVIER SCIENCE LTD en
heal.journalName Journal of the Franklin Institute en
dc.identifier.isi ISI:A1984SV95800006 en
dc.identifier.volume 317 en
dc.identifier.issue 5 en
dc.identifier.spage 359 en
dc.identifier.epage 371 en


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