• DocumentCode
    2380568
  • Title

    Approximate low rank solutions of Lyapunov equations via proper orthogonal decomposition

  • Author

    Singler, John R.

  • Author_Institution
    Sch. of Mech., Oregon State Univ. Corvallis, Corvallis, OR
  • fYear
    2008
  • fDate
    11-13 June 2008
  • Firstpage
    267
  • Lastpage
    272
  • Abstract
    We present an algorithm to approximate the solution Z of a stable Lyapunov equation AZ + ZA* + BB* = 0 using proper orthogonal decomposition (POD). This algorithm is applicable to large-scale problems and certain infinite dimensional problems as long as the rank of B is relatively small. In the infinite dimensional case, the algorithm does not require matrix approximations of the operators A and B. POD is used in a systematic way to provide convergence theory and simple a priori error bounds.
  • Keywords
    Lyapunov methods; approximation theory; matrix algebra; multidimensional systems; Lyapunov equations; approximate low rank solutions; infinite dimensional problems; large-scale problems; matrix approximations; proper orthogonal decomposition; Approximation algorithms; Computational efficiency; Computational modeling; Differential equations; Industrial control; Iterative algorithms; Large-scale systems; Manufacturing industries; Riccati equations; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2008
  • Conference_Location
    Seattle, WA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-2078-0
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2008.4586502
  • Filename
    4586502