HEAL DSpace

State space analysis of singular systems via orthogonal series

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dc.contributor.author Paraskevopoulos, P en
dc.contributor.author Koumboulis, F en
dc.contributor.author Tsirikos, A en
dc.date.accessioned 2014-03-01T02:47:59Z
dc.date.available 2014-03-01T02:47:59Z
dc.date.issued 1991 en
dc.identifier.uri http://hdl.handle.net/123456789/33488
dc.subject Differential Operators en
dc.subject Singular System en
dc.subject State Space en
dc.title State space analysis of singular systems via orthogonal series en
heal.type conferenceItem en
heal.identifier.primary 10.1109/CDC.1991.261875 en
heal.identifier.secondary http://dx.doi.org/10.1109/CDC.1991.261875 en
heal.publicationDate 1991 en
heal.abstract Three novel alternative approaches for state-space analysis of singular systems via orthogonal series are presented. All three approaches yield explicit expressions for the state vector coefficient matrix involving only multiplication of matrices of small dimensions. The combination of the advantages (computational, structural, etc.) of all three approaches appears to be superior to the advantages of all known techniques for the en
heal.journalName Conference on Decision and Control en
dc.identifier.doi 10.1109/CDC.1991.261875 en


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