Model reduction by generalised least-squares method

T. Nigel Lucas; A. R. Munro

doi:10.1049/el:19910869

Model reduction by generalised least-squares method

T. Nigel Lucas, A. R. Munro

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

16 Citations (Scopus)

Abstract

The method of model reduction by least-squares moment matching is generalised to include Markov parameters in the process. This is seen to enhance the flexibility of the method with very little extra computational requirement. An example illustrates the generalisation and the results are discussed.

Original language	English
Pages (from-to)	1383-1384
Number of pages	2
Journal	Electronics Letters
Volume	27
Issue number	15
DOIs	https://doi.org/10.1049/el:19910869
Publication status	Published - 18 Jul 1991

Keywords

Generalised least-squares method
Model reduction
Least-squares moment matching
Markov parameters

Access to Document

10.1049/el:19910869

Cite this

@article{4cc3bbd0604a47f5bbdb69c3107bd360,

title = "Model reduction by generalised least-squares method",

abstract = "The method of model reduction by least-squares moment matching is generalised to include Markov parameters in the process. This is seen to enhance the flexibility of the method with very little extra computational requirement. An example illustrates the generalisation and the results are discussed.",

author = "Lucas, {T. Nigel} and Munro, {A. R.}",

year = "1991",

month = jul,

day = "18",

doi = "10.1049/el:19910869",

language = "English",

volume = "27",

pages = "1383--1384",

journal = "Electronics Letters",

issn = "0013-5194",

publisher = "Institution of Engineering and Technology",

number = "15",

}

TY - JOUR

T1 - Model reduction by generalised least-squares method

AU - Lucas, T. Nigel

AU - Munro, A. R.

PY - 1991/7/18

Y1 - 1991/7/18

N2 - The method of model reduction by least-squares moment matching is generalised to include Markov parameters in the process. This is seen to enhance the flexibility of the method with very little extra computational requirement. An example illustrates the generalisation and the results are discussed.

AB - The method of model reduction by least-squares moment matching is generalised to include Markov parameters in the process. This is seen to enhance the flexibility of the method with very little extra computational requirement. An example illustrates the generalisation and the results are discussed.

U2 - 10.1049/el:19910869

DO - 10.1049/el:19910869

M3 - Article

VL - 27

SP - 1383

EP - 1384

JO - Electronics Letters

JF - Electronics Letters

SN - 0013-5194

IS - 15

ER -

Model reduction by generalised least-squares method

Abstract

Keywords

Access to Document

Fingerprint

Cite this