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Non-linear system modelling based on non-parametric identification and linear wavelet estimation of SDP models

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dc.contributor.authorTruong, N - V
dc.contributor.authorWang, Liuping
dc.contributor.authorYoung, Peter C
dc.date.accessioned2015-12-10T22:56:16Z
dc.date.issued2007
dc.date.updated2015-12-10T07:52:52Z
dc.description.abstractThis paper describes a data-based approach to the identification and estimation of non-linear dynamic systems which exploits the concept of a state dependent parameter (SDP) model structure. The major attractive features of the proposed approach are: (1)
dc.identifier.issn0020-7179
dc.identifier.urihttp://hdl.handle.net/1885/60176
dc.publisherTaylor & Francis Group
dc.sourceInternational Journal of Control
dc.subjectKeywords: Linear wavelet functional approximation; Parsimonious structure; Predicted residual sums of squares (PRESS); State dependent parameter (SDP); Algorithms; Computer simulation; Nonlinear systems; Optimization; Parameterization; Wavelet analysis; Parameter e
dc.titleNon-linear system modelling based on non-parametric identification and linear wavelet estimation of SDP models
dc.typeJournal article
local.bibliographicCitation.issue5
local.bibliographicCitation.lastpage788
local.bibliographicCitation.startpage774
local.contributor.affiliationTruong, N - V, RMIT University
local.contributor.affiliationWang, Liuping, RMIT University
local.contributor.affiliationYoung, Peter C, College of Medicine, Biology and Environment, ANU
local.contributor.authoruidYoung, Peter C, u5092275
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor090799 - Environmental Engineering not elsewhere classified
local.identifier.ariespublicationu4167262xPUB526
local.identifier.citationvolume80
local.identifier.doi10.1080/00207170601185996
local.identifier.scopusID2-s2.0-34047222988
local.type.statusPublished Version

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