• DocumentCode
    2174746
  • Title

    A new nonlinear discrete-time observer design method with linearizable error dynamics

  • Author

    Mingqing Xiao ; Kazantzis, Nikolaos ; Kravaris, Costas

  • Author_Institution
    Southern Illinois Univ., Carbondale, IL, USA
  • fYear
    2007
  • fDate
    2-5 July 2007
  • Firstpage
    1174
  • Lastpage
    1178
  • Abstract
    The present research study provides a concrete set of conditions under which a nonlinear discrete-time observer exists that induces linear estimation error dynamics for nonlinear discrete-time continuous (C0) systems. The problem under consideration is mathematically addressed through the existence of a homeomorphism in the state space that maps the orbits of a linear system with an output injection onto the observing system, which indicates the existence of an invariant attracting manifold for the extended system. Within this framework, the discrete-time version of the well-known Hartman-Grobman Theorem can be naturally reproduced as a special case. The performance of the proposed nonlinear discrete-time observer is evaluated using a nonlinear dynamical chaotic system of the Lozi-type.
  • Keywords
    chaos; discrete time systems; linear systems; linearisation techniques; nonlinear dynamical systems; observers; state-space methods; Hartman-Grobman theorem; Lozi-type; discrete-time version; homeomorphism; invariant attracting manifold; linear estimation error dynamics; linear system; linearizable error dynamics; nonlinear discrete-time continuous system; nonlinear discrete-time observer design method; nonlinear dynamical chaotic system; observing system; output injection; state space; Control systems; Convergence; Discrete-time systems; Nonlinear dynamical systems; Observers; Orbits; Discrete-time systems; Error dynamics linearization; Nonlinear observers; Nonlinear systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (ECC), 2007 European
  • Conference_Location
    Kos
  • Print_ISBN
    978-3-9524173-8-6
  • Type

    conf

  • Filename
    7069063