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Title: Iterative model reduction of large state-space systems

Creator:

Huhtanen, Marko

Date:

1999

Resource Type:

artykuł

Contributor:

Korbicz, Józef - red. ; Uciński, Dariusz - red.

Group publication title:

AMCS, volume 9 (1999)

Abstract:

There exist criteria for reducing the order of a large state-space model based on the accuracy of the approximate solutions to the Lyapunov matrix equations and the Hankel operator. Iterative solution techniques for the Lyapunov equations with the Arnoldi method have been proposed in a number of papers. In this paper we derive error bounds for approximations to the solutions to the Lyapunov equations as well as for the Hankel operator that indicate how to precondition while solving these equations iteratively.

Publisher:

Zielona Góra: Uniwersytet Zielonogórski

Resource Identifier:

oai:zbc.uz.zgora.pl:58171

Pages:

245-263

Source:

AMCS, volume 9, number 2 (1999) ; click here to follow the link

Language:

eng

Rights:

Biblioteka Uniwersytetu Zielonogórskiego

Subject and keywords:

model reduction iterative methods Lyapunov matrix equations Hankel operator preconditioning Hankel singular values

Object collections:

Last modified:

Sep 3, 2021

In our library since:

Jan 21, 2021

Number of object content hits:

47

All available object's versions:

https://zbc.uz.zgora.pl/publication/64787

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Edition name Date
Iterative model reduction of large state-space systems Sep 3, 2021

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