Nonequivalence transformation of lambda-matrix eigenproblems and model embedding approach to model tuning
| dc.citation.epage | 70 | en_US |
| dc.citation.issue | 1 | en_US |
| dc.citation.spage | 53 | en_US |
| dc.citation.volume | 8 | en_US |
| dc.citation.woscount | 14 | |
| 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.contributor.department | 應用數學系 | zh_TW |
| dc.contributor.department | Department of Applied Mathematics | 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.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.identifier.doi | 10.1002/1099-1506(200101/02)8:1<53 | en_US |
| dc.identifier.issn | 1070-5325 | en_US |
| dc.identifier.journal | NUMERICAL LINEAR ALGEBRA WITH APPLICATIONS | en_US |
| dc.identifier.uri | http://dx.doi.org/10.1002/1099-1506(200101/02)8:1<53 | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/29906 | |
| dc.identifier.wosnumber | WOS:000166600900005 | |
| 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 |