A unifying theory of least‐squares Padé model reduction methods

I. D. Smith, T. Nigel Lucas

Research output: Contribution to journalArticle

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Abstract

The apparently different approaches of least-squares parameter-matching Podé model reduction methods are shown to be related via a unifying theory. From the formulation it is possible to show several interesting features of the least-squares approach which lead to a fuller understanding of exactly how the reduced model approximates the system. An error index is derived for the general case and it is shown that a range of system parameter preservation options are available to the user. A numerical example illustrates the main points of the paper.
Original languageEnglish
Pages (from-to)95-102
JournalProceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering
Volume210
Issue number2
DOIs
StatePublished - 1 May 1996

Cite this

Smith, I. D.; Lucas, T. Nigel / A unifying theory of least‐squares Padé model reduction methods.

In: Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, Vol. 210, No. 2, 01.05.1996, p. 95-102.

Research output: Contribution to journalArticle

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A unifying theory of least‐squares Padé model reduction methods. / Smith, I. D.; Lucas, T. Nigel.

In: Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, Vol. 210, No. 2, 01.05.1996, p. 95-102.

Research output: Contribution to journalArticle

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