• DocumentCode
    3487074
  • Title

    Generalized gain margin for nonlinear systems

  • Author

    Xiaojing Yang ; Zhu, J.J.

  • Author_Institution
    Sch. of Electr. Eng. & Comput. Sci., Ohio Univ., Athens, OH, USA
  • fYear
    2012
  • fDate
    27-29 June 2012
  • Firstpage
    3316
  • Lastpage
    3321
  • Abstract
    In this paper, we propose a Generalized Gain Margin (GGM) as a gain margin like stability metric for Nonlinear (NL) systems under regular perturbation. Four time-domain GGM assessment methods for Linear Time-Invariant (LTI) systems are provided, and the GGM equivalence between linear and NL systems, for both time-invariant and time-varying cases, at the equilibrium point is established, which makes it possible to develop GGM assessment methods for NL systems in the subsequent investigation using the corresponding GGM estimating methods for linear systems. However, unlike the linear systems, the GGM of the NL system may be reduced when the size of Domain of Attraction (DOA) is imposed, which is shown by examples. The main results in this paper facilitate generalization to Linear Time-Varying (LTV) systems and Nonlinear Time-Varying (NLTV) systems in future work.
  • Keywords
    linear systems; nonlinear control systems; perturbation techniques; time-domain synthesis; time-varying systems; DOA; GGM equivalence; GGM estimation method; LTI system; LTV system; NL system; NLTV system; domain of attraction; generalized gain margin; linear time-invariant system; linear time-varying system; nonlinear time-varying system; regular perturbation; stability metric; time-domain GGM assessment method; Eigenvalues and eigenfunctions; Equations; Gain; Measurement; Stability criteria; Time varying systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2012
  • Conference_Location
    Montreal, QC
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4577-1095-7
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2012.6315633
  • Filename
    6315633