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A modified Krylov subspace model reduction method based on the Chebyshev polynomials

  • Xi'an Jiaotong University

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

3 Scopus citations

Abstract

In this paper, we present a modified Krylov subspace model reduction method for linear time invariable systems based on the Chebyshev polynomials. Noting the structure of the Chebyshev polynomial coefficient matrices, which are calculated approximately via the Chebyshev polynomial expansion of the state variable, we employ Krylov subspace to construct decent projection matrices. A reduced order system is produced in two-sided projection framework by combining the time and the frequency domain analysis. Two numerical examples are used to illustrate the efficiency of the method.

Original languageEnglish
Title of host publication2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Proceedings
Pages7123-7126
Number of pages4
DOIs
StatePublished - 2011
Event2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Inner Mongolia, China
Duration: 15 Jul 201117 Jul 2011

Publication series

Name2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011 - Proceedings

Conference

Conference2011 2nd International Conference on Mechanic Automation and Control Engineering, MACE 2011
Country/TerritoryChina
CityInner Mongolia
Period15/07/1117/07/11

Keywords

  • Krylov subspace
  • Linear time invariable systems
  • Model reduction
  • The Chebyshev polynomials

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