• DocumentCode
    3018179
  • Title

    Non-asymptotically stable observers for linear time-invariant systems

  • Author

    Galperin, E.A.

  • Author_Institution
    Universit?? de Montr??al, Montr??al, Qu??., Canada
  • fYear
    1977
  • fDate
    7-9 Dec. 1977
  • Firstpage
    444
  • Lastpage
    449
  • Abstract
    The concept of asymptotical observation is extended to include a new kind of observers which converge asymptotically not to the (unknown) state of a given system as conventional observers do but rather to an arbitrarily small neighborhood of the state. This type of convergence represents a natural technical requirement in applications and leads to the broadest class of models for asymptotic state estimation. Non-asymptotically stable observers are shown to be robust and to possess closed-loop stability properties under permanently acting disturbances. They require a bit of additional pointwise information and detectability condition is no longer necessary. In linear time-invariant case such models are conditionally stable in the large in the sense specified below.
  • Keywords
    Asymptotic stability; Control design; Convergence; Eigenvalues and eigenfunctions; Equations; Observers; Real time systems; Robust stability; State estimation; Yield estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control including the 16th Symposium on Adaptive Processes and A Special Symposium on Fuzzy Set Theory and Applications, 1977 IEEE Conference on
  • Conference_Location
    New Orleans, LA, USA
  • Type

    conf

  • DOI
    10.1109/CDC.1977.271612
  • Filename
    4045882