• DocumentCode
    3409776
  • Title

    Nonlinear robust adaptive observers

  • Author

    Azemi, Asad ; Yaz, Edwin Engin

  • Author_Institution
    Dept. of Eng., Pennsylvania State Delaware County Campus, Media, PA, USA
  • fYear
    1996
  • fDate
    31 Mar-2 Apr 1996
  • Firstpage
    81
  • Lastpage
    85
  • Abstract
    Extensions of a robust adaptive observer are presented for state reconstruction of nonlinear systems with uncertainty having unknown bounds. The observers use nonlinear gains which are continuously updated to guarantee a globally asymptotically convergent observation error. A generalization to known waveform type disturbances and measurement uncertainties is pointed out and an example is included for illustrative purposes
  • Keywords
    asymptotic stability; nonlinear systems; observers; robust control; state estimation; uncertain systems; globally asymptotically convergent observation error; measurement uncertainties; nonlinear gains; nonlinear systems; robust adaptive observer; state reconstruction; waveform type disturbances; Adaptive estimation; Convergence; Error correction; Measurement uncertainty; Minimax techniques; Nonlinear systems; Observers; Robustness; State feedback; Symmetric matrices;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 1996., Proceedings of the Twenty-Eighth Southeastern Symposium on
  • Conference_Location
    Baton Rouge, LA
  • ISSN
    0094-2898
  • Print_ISBN
    0-8186-7352-4
  • Type

    conf

  • DOI
    10.1109/SSST.1996.493476
  • Filename
    493476