• DocumentCode
    706568
  • Title

    Synthesis of nonlinear observers via structural analysis and numerical differentiation

  • Author

    Plestan, Franck ; Grizzle, J.W.

  • Author_Institution
    LSIIT, Univ. Louis Pasteur, Illkirch-Graffenstaden, France
  • fYear
    1999
  • fDate
    Aug. 31 1999-Sept. 3 1999
  • Firstpage
    1428
  • Lastpage
    1433
  • Abstract
    Recent work in nonlinear observer design has sought to bring together the structural (or transformation based) approach found in [8, 5, 1, 11] and the numerical differentiation approach found in [4]. The goal is to achieve higher flexibility and wider applicability than is possible with either approach alone. In this paper, it is noted that any observable, autonomous system admitting an equilibrium point can be expressed as a state-affine system parameterized by the output and its derivatives. A class of (single-output) systems is identified that admit parameterizations with fewer than n - 1 derivatives, where n is the dimension of the state.
  • Keywords
    nonlinear systems; numerical analysis; observers; autonomous system; nonlinear observer design; nonlinear observer synthesis; numerical differentiation; numerical differentiation approach; structural analysis; Noise; Noise measurement; Observability; Observers; Polynomials; Smoothing methods; Time measurement; Nonlinear observers; extended linearization; numerical differentiation; state-affine systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 1999 European
  • Conference_Location
    Karlsruhe
  • Print_ISBN
    978-3-9524173-5-5
  • Type

    conf

  • Filename
    7099512