• DocumentCode
    115850
  • Title

    Backstepping-forwarding control of parabolic PDEs with partially separable kernels

  • Author

    Tsubakino, Daisuke ; Bribiesca Argomedo, Federico ; Krstic, Miroslav

  • Author_Institution
    Div. of Syst. Sci. & Inf., Hokkaido Univ., Sapporo, Japan
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    5236
  • Lastpage
    5241
  • Abstract
    This paper considers a boundary control problem of parabolic partial differential equations (PDEs) with an integral of the state variable over the whole spatial domain. To handle this non-strict feedback term, we use a Fredholm-type state transformation that involves two integral terms with kernels defined on the lower and the upper triangular domains. It is shown that the transformation converts the original system with an associated state feedback law into an exponentially stable target system, if the kernels are solutions to a boundary value problem of coupled second-order hyperbolic PDEs. Moreover, the upper kernel is separable if a coefficient of the original system is characterized by a certain parameterized ordinary integro-differential equation. Our approach also provides an explicit feedback gain in a special case. The effectiveness of the proposed controller is confirmed by numerical simulation.
  • Keywords
    asymptotic stability; boundary-value problems; control nonlinearities; hyperbolic equations; numerical analysis; parabolic equations; partial differential equations; state feedback; Fredholm-type state transformation; associated state feedback law; backstepping-forwarding control; boundary control problem; boundary value problem; coupled second-order hyperbolic PDE; exponentially stable target system; feedback gain; nonstrict feedback term; numerical simulation; parabolic PDE; parabolic partial differential equation; parameterized ordinary integro-differential equation; partially separable kernel; spatial domain; state variable; Backstepping; Boundary conditions; Equations; Integral equations; Kernel; Mathematical model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2014 IEEE 53rd Annual Conference on
  • Conference_Location
    Los Angeles, CA
  • Print_ISBN
    978-1-4799-7746-8
  • Type

    conf

  • DOI
    10.1109/CDC.2014.7040207
  • Filename
    7040207