• DocumentCode
    3296696
  • Title

    Balanced state-space representations: a polynomial algebraic approach

  • Author

    Rapisarda, P. ; Trentelman, H.L.

  • Author_Institution
    ISIS Group, Univ. of Southampton, Southampton, UK
  • fYear
    2009
  • fDate
    15-18 Dec. 2009
  • Firstpage
    4334
  • Lastpage
    4339
  • Abstract
    We show how to compute a minimal Riccati-balanced state map and a minimal Riccati-balanced state space representation starting from an image representation of a strictly dissipative system. The result is based on an iterative procedure to solve a generalization of the Nevanlinna interpolation problem.
  • Keywords
    Riccati equations; image representation; interpolation; polynomials; state-space methods; Nevanlinna interpolation problem; Riccati balanced state map; Riccati balanced state space; dissipative system; image representation; polynomial algebraic approach; state space representations; Differential equations; Eigenvalues and eigenfunctions; Image representation; Instruments; Interpolation; Polynomials; Reduced order systems; Riccati equations; State-space methods; Transfer functions;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on
  • Conference_Location
    Shanghai
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-3871-6
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2009.5399719
  • Filename
    5399719