• DocumentCode
    1271658
  • Title

    Cascade High Gain Predictors for a Class of Nonlinear Systems

  • Author

    Ahmed-Ali, Tarek ; Cherrier, Estelle ; Lamnabhi-Lagarrigue, Françoise

  • Author_Institution
    GREYC, Caen, France
  • Volume
    57
  • Issue
    1
  • fYear
    2012
  • Firstpage
    221
  • Lastpage
    226
  • Abstract
    This work presents a set of cascade high gain predictors to reconstruct the vector state of triangular nonlinear systems with delayed output. By using a Lyapunov-Krasvoskii approach, simple sufficient conditions ensuring the exponential convergence of the observation error towards zero are given. All predictors used in the cascade have the same structure. This feature will greatly improve the easiness of their implementation. This result is illustrated by some simulations.
  • Keywords
    Lyapunov methods; cascade systems; convergence; delays; nonlinear control systems; observers; Lyapunov-Krasvoskii approach; cascade high gain predictor; observation error; triangular nonlinear system; vector state reconstruction; Convergence; Delay; Equations; Noise measurement; Nonlinear systems; Observers; Solids; Cascade systems; high gain observer; time-delay systems;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2011.2161795
  • Filename
    5953476
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1271658