• DocumentCode
    1257449
  • Title

    On Feedback Capability in a Class of Nonlinearly Parameterized Uncertain Systems

  • Author

    Chanying Li ; Lei Guo

  • Author_Institution
    Dept. of Mech. Eng., Univ. of Hong Kong, Hong Kong, China
  • Volume
    56
  • Issue
    12
  • fYear
    2011
  • Firstpage
    2946
  • Lastpage
    2951
  • Abstract
    In this technical note, we will investigate the maximum capability and limitations of the feedback mechanism in globally stabilizing a basic class of discrete-time nonlinearly parameterized dynamical systems with multiple unknown parameters. Both “possibility” and “impossibility” theorems together with a fairly complete characterization on the capability of feedback will be presented. It will be seen that to characterize the feedback capability, the growth rates of the sensitivity functions of the nonlinear dynamics with respect to the uncertain parameters play a crucial role, and a suitable decomposition of the family of the nonlinearly parameterized functions in question turns out to be necessary.
  • Keywords
    discrete time systems; feedback; nonlinear dynamical systems; possibility theory; sensitivity analysis; stability; uncertain systems; discrete-time nonlinearly parameterized dynamical systems; feedback capability; feedback mechanism; global stabilization; impossibility theorem; maximum capability; nonlinearly parameterized uncertain systems; possibility theorem; sensitivity functions; Adaptive control; Control systems; Nonlinear systems; Polynomials; Uncertain systems; Uncertainty; Feedback capability; global stabilization; nonlinear systems; parameterized uncertainty;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2011.2160599
  • Filename
    5929536