Model reduction by least-squares moment matching

T. Nigel Lucas; I. F. Beat

doi:10.1049/el:19900784

Model reduction by least-squares moment matching

T. Nigel Lucas, I. F. Beat

Research output: Contribution to journal › Article › peer-review

14 Citations (Scopus)

Abstract

Model reduction by least-squares moment matching is shown to be very sensitive to the pole distribution of the original system. Systems with poles of modulus less than unity are seen to present numerical problems. A suggestion is made to render the technique more robust.

Original language	English
Pages (from-to)	1213-1215
Number of pages	3
Journal	Electronics Letters
Volume	26
Issue number	15
DOIs	https://doi.org/10.1049/el:19900784
Publication status	Published - 19 Jul 1990

Keywords

Robustness
Model reduction
Least-squares moment matching
Pole distribution
Numerical problems

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10.1049/el:19900784

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title = "Model reduction by least-squares moment matching",

abstract = "Model reduction by least-squares moment matching is shown to be very sensitive to the pole distribution of the original system. Systems with poles of modulus less than unity are seen to present numerical problems. A suggestion is made to render the technique more robust.",

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year = "1990",

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AU - Lucas, T. Nigel

AU - Beat, I. F.

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N2 - Model reduction by least-squares moment matching is shown to be very sensitive to the pole distribution of the original system. Systems with poles of modulus less than unity are seen to present numerical problems. A suggestion is made to render the technique more robust.

AB - Model reduction by least-squares moment matching is shown to be very sensitive to the pole distribution of the original system. Systems with poles of modulus less than unity are seen to present numerical problems. A suggestion is made to render the technique more robust.

U2 - 10.1049/el:19900784

DO - 10.1049/el:19900784

M3 - Article

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SP - 1213

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JO - Electronics Letters

JF - Electronics Letters

SN - 0013-5194

IS - 15

ER -

Model reduction by least-squares moment matching

Abstract

Keywords

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