Nonequivalence transformation of lambda-matrix eigenproblems and model embedding approach to model tuning

doi:10.1002/1099-1506(200101/02)8:1<53

完整後設資料紀錄

DC 欄位	值	語言
dc.contributor.author	Ferng, WR	en_US
dc.contributor.author	Lin, WW	en_US
dc.contributor.author	Pierce, DJ	en_US
dc.contributor.author	Wang, CS	en_US
dc.date.accessioned	2014-12-08T15:44:18Z	-
dc.date.available	2014-12-08T15:44:18Z	-
dc.date.issued	2001-01-01	en_US
dc.identifier.issn	1070-5325	en_US
dc.identifier.uri	http://hdl.handle.net/11536/29906	-
dc.identifier.uri	http://dx.doi.org/10.1002/1099-1506(200101/02)8:1<53	en_US
dc.description.abstract	In this paper we present some theory for a non-equivalence transformation of matrix eigenvalues for lambda -matrix polynomials. Application of this transformation to eigenvalue embedding for model tuning on a realistic industry problem is illustrated. The new approach has several advantages such as flexibility, efficiency, and structure-preservation. A numerical experiment on a pseudosimulation data set from The Boeing Company is retorted. Copyright (C) 2001 John Wiley & Sons, Ltd.	en_US
dc.language.iso	en_US	en_US
dc.subject	non-equivalence transformation	en_US
dc.subject	model tuning	en_US
dc.subject	eigenvalue embedding	en_US
dc.subject	pole assignment	en_US
dc.subject	system identification	en_US
dc.title	Nonequivalence transformation of lambda-matrix eigenproblems and model embedding approach to model tuning	en_US
dc.type	Article	en_US
dc.identifier.doi	10.1002/1099-1506(200101/02)8:1<53	en_US
dc.identifier.journal	NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS	en_US
dc.citation.volume	8	en_US
dc.citation.issue	1	en_US
dc.citation.spage	53	en_US
dc.citation.epage	70	en_US
dc.contributor.department	應用數學系	zh_TW
dc.contributor.department	Department of Applied Mathematics	en_US
dc.identifier.wosnumber	WOS:000166600900005	-
dc.citation.woscount	14	-
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