• DocumentCode
    337149
  • Title

    Model reduction and H∞ norm computation for state-space symmetric systems

  • Author

    Liu, W.Q. ; Sreeram, V. ; Teo, K.L.

  • Author_Institution
    Sch. of Electr. & Inf. Eng., Univ. of Sydney, NSW, Australia
  • Volume
    2
  • fYear
    1998
  • fDate
    16-18 Dec 1998
  • Firstpage
    2195
  • Abstract
    In this paper, the model reduction and H∞ norm computation for state-space symmetric systems are investigated. First, it is shown that several model reduction methods, such as balanced truncation, balanced truncation which preserves the DC gain, optimal Hankel approximation and suboptimal Hankel approximation inherit the state-space symmetric property. Next, an explicit formula for computing H∞ norm of state-space symmetric systems is given
  • Keywords
    H∞ control; approximation theory; reduced order systems; state-space methods; H∞ norm; Hankel approximation; SISO systems; balanced truncation; model reduction; state-space symmetric systems; Australia; MIMO; Mathematics; Reduced order systems; Stability; State-space methods; Statistics; Steady-state; Symmetric matrices; Transient response;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
  • Conference_Location
    Tampa, FL
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-4394-8
  • Type

    conf

  • DOI
    10.1109/CDC.1998.758666
  • Filename
    758666
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=337149