• DocumentCode
    3114398
  • Title

    A Kalman Decomposition for Robustly Unobservable Uncertain Linear Systems

  • Author

    Petersen, Ian R.

  • Author_Institution
    School of Information Technology and Electrical Engineering, Australian Defence Force Academy, Canberra ACT 2600, Australia, irp@ee.adfa.edu.au.
  • fYear
    2005
  • fDate
    12-15 Dec. 2005
  • Firstpage
    2928
  • Lastpage
    2932
  • Abstract
    This paper considers the structure of uncertain linear systems building on a concept of robust unobservability which was introduced in a previous paper. Compared to the previous paper, this paper specializes to the case of linear time invariant uncertain systems with unstructured uncertainty described by an averaged integral quadratic constraint. The paper presents a new characterization of the robustly unobservable states and shows that this leads to a Kalman type decomposition for uncertain linear systems with robustly unobservable states.
  • Keywords
    Australia; Buildings; Kalman filters; Linear systems; Observability; Robustness; State estimation; Time varying systems; Uncertain systems; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2005 and 2005 European Control Conference. CDC-ECC '05. 44th IEEE Conference on
  • Print_ISBN
    0-7803-9567-0
  • Type

    conf

  • DOI
    10.1109/CDC.2005.1582609
  • Filename
    1582609