• DocumentCode
    2389462
  • Title

    Global robust stabilization of nonlinear strict feedforward systems with input unmodeled dynamics

  • Author

    Chen, Tianshi ; Huang, Jie

  • fYear
    2008
  • fDate
    11-13 June 2008
  • Firstpage
    3422
  • Lastpage
    3427
  • Abstract
    In this paper, we study the global robust stabilization problem of strict feedforward systems subject to input unmodeled dynamics. We present a recursive design method for a nested saturation controller which globally stabilizes the closed-loop system in the presence of input unmodeled dynamics. One of the specific difficulties of the problem is that the Jacobian linearization of our system at the origin may not be stabilizable. We overcome this difficulty by employing a special version of the small gain theorem to address the stability of the closed-loop system while employing the asymptotic small gain theorem to establish the global attractiveness property of the closed-loop system. An example is given to show that a redesign of the controller is necessary to guarantee the global robust asymptotic stability when the input unmodeled dynamics is present.
  • Keywords
    Jacobian matrices; asymptotic stability; closed loop systems; control system synthesis; feedforward; linearisation techniques; nonlinear dynamical systems; recursive estimation; robust control; Jacobian linearization; asymptotic small gain theorem; closed-loop system stability; controller redesign; global attractiveness property; global robust asymptotic stabilization problem; input unmodeled dynamics; nested saturation controller; nonlinear strict feedforward system; recursive design method; Asymptotic stability; Control systems; Design methodology; Feedforward systems; Jacobian matrices; Nonlinear control systems; Nonlinear dynamical systems; Robust control; Robust stability; Robustness;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 2008
  • Conference_Location
    Seattle, WA
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-2078-0
  • Electronic_ISBN
    0743-1619
  • Type

    conf

  • DOI
    10.1109/ACC.2008.4587022
  • Filename
    4587022