• DocumentCode
    115349
  • Title

    Feedforward learning control for MIMO plant with finite zeros: Parameterization of numerator polynomial matrix

  • Author

    Sugimoto, Kenji ; Mateo, Lorlynn A.

  • Author_Institution
    Grad. Sch. of Inf. Sci., Nara Inst. of Sci. & Technol., Ikoma, Japan
  • fYear
    2014
  • fDate
    15-17 Dec. 2014
  • Firstpage
    4119
  • Lastpage
    4124
  • Abstract
    This paper proposes a scheme for feedforward (FF) learning control for an unknown multi-input multi-output (MIMO) linear plant in the two-degree-of-freedom structure. Provided that a feedback (FB) control stabilizes the plant but gives a poor response property to reference signals, FF control with on-line learning of inverse dynamics improves the response significantly. In contrast to existing FF learning control schemes called feedback error learning, we propose a scheme that overcomes difficulties in MIMO plant with finite zeros. Numerical simulation is carried out to show the effectiveness of the proposed scheme.
  • Keywords
    MIMO systems; feedback; feedforward; learning systems; polynomial matrices; FB control; FF learning control; MIMO plant; feedback control; feedback error learning; feedforward learning control; finite zeros; inverse dynamics online learning; multiinput multioutput linear plant; numerator polynomial matrix parameterization; two-degree-of-freedom structure; Estimation; Feedforward neural networks; MIMO; Numerical simulation; Polynomials; Trajectory;
  • 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.2014.7040030
  • Filename
    7040030