MODIFIED RECURSIVE LEAST-SQUARES ALGORITHM FOR PARAMETER-IDENTIFICATION

dc.citation.epage	205	en_US
dc.citation.issue	2	en_US
dc.citation.spage	187	en_US
dc.citation.volume	23	en_US
dc.citation.woscount	3
dc.contributor.author	CHEN, YM	en_US
dc.contributor.author	WU, YC	en_US
dc.contributor.department	電控工程研究所	zh_TW
dc.contributor.department	Institute of Electrical and Control Engineering	en_US
dc.date.accessioned	2014-12-08T15:05:01Z
dc.date.available	2014-12-08T15:05:01Z
dc.date.issued	1992-02-01	en_US
dc.description.abstract	A 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.identifier.doi	10.1080/00207729208949199	en_US
dc.identifier.issn	0020-7721	en_US
dc.identifier.journal	INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE	en_US
dc.identifier.uri	http://dx.doi.org/10.1080/00207729208949199	en_US
dc.identifier.uri	https://ir.lib.nycu.edu.tw/handle/11536/3538
dc.identifier.wosnumber	WOS:A1992HF69100003
dc.language.iso	en_US	en_US
dc.title	MODIFIED RECURSIVE LEAST-SQUARES ALGORITHM FOR PARAMETER-IDENTIFICATION	en_US
dc.type	Article	en_US

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