Full metadata record
DC FieldValueLanguage
dc.contributor.authorCHEN, YMen_US
dc.contributor.authorWU, YCen_US
dc.date.accessioned2014-12-08T15:05:01Z-
dc.date.available2014-12-08T15:05:01Z-
dc.date.issued1992-02-01en_US
dc.identifier.issn0020-7721en_US
dc.identifier.urihttp://dx.doi.org/10.1080/00207729208949199en_US
dc.identifier.urihttp://hdl.handle.net/11536/3538-
dc.description.abstractA modified recursive least-squares algorithm is proposed for estimating the parameters of a linear system, including ill-conditioned situations. The proposed algorithm is obtained by minimizing the modified cost function in which the initial guess in the cost function of an ordinary recursive least-squares (RLS) algorithm is replaced by the latest estimate. Analysis of the convergence shows that the proposed algorithm has a better convergence rate than the ordinary RLS algorithm. The extension of the algorithm to the time-varying case has also been considered.en_US
dc.language.isoen_USen_US
dc.titleMODIFIED RECURSIVE LEAST-SQUARES ALGORITHM FOR PARAMETER-IDENTIFICATIONen_US
dc.typeArticleen_US
dc.identifier.doi10.1080/00207729208949199en_US
dc.identifier.journalINTERNATIONAL JOURNAL OF SYSTEMS SCIENCEen_US
dc.citation.volume23en_US
dc.citation.issue2en_US
dc.citation.spage187en_US
dc.citation.epage205en_US
dc.contributor.department電控工程研究所zh_TW
dc.contributor.departmentInstitute of Electrical and Control Engineeringen_US
dc.identifier.wosnumberWOS:A1992HF69100003-
dc.citation.woscount3-
Appears in Collections:Articles