Ordnungsreduktion mittels Krylov-Unterraummethoden

Translated title of the contribution: Order reduction using krylov subspace methods

Boris Lohmann, Behnam Salimbahrami

Research output: Contribution to journalArticlepeer-review

25 Scopus citations

Abstract

In the modelling of dynamic systems, increasing accuracy requirements and the usage of software tools lead to models of high order. These models can significantly be simplified by model reduction. Krylov Subspace Methods allow reducing even very high order models with several ten thousands of state variables. This paper gives an introduction into the basic concepts, presents the most important algorithms, and gives a short outlook into open questions.

Translated title of the contributionOrder reduction using krylov subspace methods
Original languageGerman
Pages (from-to)30-38
Number of pages9
JournalAt-Automatisierungstechnik
Volume52
Issue number1
DOIs
StatePublished - 2004
Externally publishedYes

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