• DocumentCode
    701966
  • Title

    A survey of balancing methods for model reduction

  • Author

    Gugercin, S. ; Antoulas, A.C.

  • Author_Institution
    Department of Electrical and Computer Engineering, Rice University, Houston, Texas, USA
  • fYear
    2003
  • fDate
    1-4 Sept. 2003
  • Firstpage
    968
  • Lastpage
    973
  • Abstract
    Balancing is one of the most efficient and most commonly used methods for model reduction. In this note, we present a survey of several balancing related model reduction schemes. Also we introduce a multiplicative error bound and propose a new reduction method with an absolute error bound for positive real balancing. In addition, a frequency weighted balancing technique with guaranteed stability and a simple bound on the H norm of the error system, is presented.
  • Keywords
    Asymptotic stability; Controllability; Frequency-domain analysis; Reduced order systems; Riccati equations; Stability analysis; Upper bound; Model reduction; balancing; large-scale systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    European Control Conference (ECC), 2003
  • Conference_Location
    Cambridge, UK
  • Print_ISBN
    978-3-9524173-7-9
  • Type

    conf

  • Filename
    7085084