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Approximating Sampled-Data Systems with Applications to Digital Redesign

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dc.contributor.authorYamamoto, Yutaka
dc.contributor.authorAnderson, Brian
dc.contributor.authorNagahara, Masaaki
dc.coverage.spatialLas Vegas USA
dc.date.accessioned2015-12-13T22:19:45Z
dc.date.available2015-12-13T22:19:45Z
dc.date.createdDecember 10 2002
dc.date.issued2002
dc.date.updated2015-12-11T07:50:07Z
dc.description.abstractDespite the existence of methods for a direct optimal design of sampled-data control systems, it is often desired to approximate sampled-data systems with discrete-time ones. This occurs frequently in the context of digital redesign, in which one retains
dc.identifier.isbn0780375165
dc.identifier.urihttp://hdl.handle.net/1885/71977
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.relation.ispartofseriesIEEE Conference on Decision and Control 2002
dc.sourceProceedings of the 41st IEEE Conference on Decision and Control
dc.subjectKeywords: Approximation theory; Convergence of numerical methods; Frequency domain analysis; Optimal control systems; Parameter estimation; Digital redesign; First order approximation; Sampled data control systems
dc.titleApproximating Sampled-Data Systems with Applications to Digital Redesign
dc.typeConference paper
local.bibliographicCitation.lastpage3729
local.bibliographicCitation.startpage3724
local.contributor.affiliationYamamoto, Yutaka, College of Engineering and Computer Science, ANU
local.contributor.affiliationAnderson, Brian, College of Engineering and Computer Science, ANU
local.contributor.affiliationNagahara, Masaaki, Kyoto University
local.contributor.authoruidYamamoto, Yutaka, t231
local.contributor.authoruidAnderson, Brian, u8104642
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor010203 - Calculus of Variations, Systems Theory and Control Theory
local.identifier.ariespublicationMigratedxPub2985
local.identifier.scopusID2-s2.0-0242500427
local.type.statusPublished Version

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