Minimal nonsquare spectral factors

M.A. Petersen; A.C.M. Ran

doi:10.1016/S0024-3795(01)00564-X

Minimal nonsquare spectral factors

M.A. Petersen, A.C.M. Ran

Mathematics

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

We consider the problem of parametrizing the set of all nonsquare minimal spectral factors of a rational matrix function taking positive semidefinite values on the imaginary axis.

Original language	English
Pages (from-to)	553-565
Journal	Linear Algebra and its Applications
Volume	351-352
DOIs	https://doi.org/10.1016/S0024-3795(01)00564-X
Publication status	Published - 2002

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MR1917493 Fourth special issue on linear systems and control

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10.1016/S0024-3795(01)00564-X

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title = "Minimal nonsquare spectral factors",

abstract = "We consider the problem of parametrizing the set of all nonsquare minimal spectral factors of a rational matrix function taking positive semidefinite values on the imaginary axis.",

author = "M.A. Petersen and A.C.M. Ran",

note = "MR1917493 Fourth special issue on linear systems and control",

year = "2002",

doi = "10.1016/S0024-3795(01)00564-X",

language = "English",

volume = "351-352",

pages = "553--565",

journal = "Linear Algebra and its Applications",

issn = "0024-3795",

publisher = "Elsevier Inc.",

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T1 - Minimal nonsquare spectral factors

AU - Petersen, M.A.

AU - Ran, A.C.M.

N1 - MR1917493 Fourth special issue on linear systems and control

PY - 2002

Y1 - 2002

N2 - We consider the problem of parametrizing the set of all nonsquare minimal spectral factors of a rational matrix function taking positive semidefinite values on the imaginary axis.

AB - We consider the problem of parametrizing the set of all nonsquare minimal spectral factors of a rational matrix function taking positive semidefinite values on the imaginary axis.

U2 - 10.1016/S0024-3795(01)00564-X

DO - 10.1016/S0024-3795(01)00564-X

M3 - Article

SN - 0024-3795

VL - 351-352

SP - 553

EP - 565

JO - Linear Algebra and its Applications

JF - Linear Algebra and its Applications

ER -

Minimal nonsquare spectral factors

Abstract

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