• DocumentCode
    306920
  • Title

    l1 state estimation for linear systems using nonlinear observers

  • Author

    Stoorvogel, Anton A.

  • Author_Institution
    Dept. of Math. & Comput. Sci., Eindhoven Univ. of Technol., Netherlands
  • Volume
    3
  • fYear
    1996
  • fDate
    11-13 Dec 1996
  • Firstpage
    2407
  • Abstract
    In this paper we study the l1 optimal estimation problem for linear systems. It has been shown in the literature that in contrast with the state feedback problem it is in general sufficient to consider only linear controllers. However these estimators can have very high complexity. In this paper we study whether by using nonlinear estimators we can obtain estimators of a lower complexity
  • Keywords
    computational complexity; linear systems; nonlinear systems; observers; optimal control; l1 state estimation; linear systems; lower complexity estimators; nonlinear observers; Closed loop systems; Cost function; Ear; Filtering; Linear systems; Nonlinear systems; Observers; State estimation; State feedback; Time invariant systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 1996., Proceedings of the 35th IEEE Conference on
  • Conference_Location
    Kobe
  • ISSN
    0191-2216
  • Print_ISBN
    0-7803-3590-2
  • Type

    conf

  • DOI
    10.1109/CDC.1996.573449
  • Filename
    573449
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=306920