• DocumentCode
    728069
  • Title

    Global decentralized stabilization for a class of large-scale feedforward nonlinear systems

  • Author

    Qixun Lan ; Chuanlin Zhang ; Shihua Li

  • Author_Institution
    Key Lab. of Meas. & Control of Complex Syst. of Eng, Nanjing, China
  • fYear
    2015
  • fDate
    1-3 July 2015
  • Firstpage
    645
  • Lastpage
    650
  • Abstract
    This paper considers the problem of global decentralized stabilization for a class of large-scale feedforward nonlinear systems. First, by using generalized homogeneous systems theory, a local linear decentralized control law is recursively constructed. Second, a series of nested saturation functions are integrated with the proposed local linear control law to render the whole closed-loop large-scale system global asymptotical stability. Due to the flexibility of the generalized homogeneous systems theory, the proposed approach not only weakens the existing restrictions imposed on the interconnected nonlinearities, but also can be applied to more general classes of large-scale feedforward nonlinear systems. Numerical example shows that the effectiveness of the proposed control scheme.
  • Keywords
    asymptotic stability; closed loop systems; control nonlinearities; decentralised control; feedforward; large-scale systems; linear systems; nonlinear control systems; closed-loop large-scale system; generalized homogeneous systems theory; global asymptotical stability; global decentralized stabilization; interconnected nonlinearities; large-scale feedforward nonlinear systems; local linear decentralized control law; nested saturation functions; Asymptotic stability; Closed loop systems; Decentralized control; Feedforward neural networks; Feedforward systems; Lyapunov methods; Nonlinear systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2015
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    978-1-4799-8685-9
  • Type

    conf

  • DOI
    10.1109/ACC.2015.7170808
  • Filename
    7170808