Reduction of second order systems using second order Krylov subspaces

Boris Lohmann, Behnam Salimbahrami

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

11 Scopus citations

Abstract

By introducing the second order Krylov subspace, a method for the reduction of second order systems is proposed leading to a reduced system of the same structure. This generalization of Krylov subspace involves two matrices and some starting vectors and the reduced order model is found by applying a projection directly to the second order model without any conversion to state space. A numerical algorithm called second order Arnoldi is used to calculate the projection matrix. A sufficient condition for stability of the reduced model is given and finally, the method is applied to an electrostatically actuated beam.

Original languageEnglish
Title of host publicationProceedings of the 16th IFAC World Congress, IFAC 2005
PublisherIFAC Secretariat
Pages614-619
Number of pages6
ISBN (Print)008045108X, 9780080451084
DOIs
StatePublished - 2005

Publication series

NameIFAC Proceedings Volumes (IFAC-PapersOnline)
Volume16
ISSN (Print)1474-6670

Keywords

  • Large scale systems
  • Model reduction
  • Reduced-order models
  • Second-order systems

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