• DocumentCode
    3664977
  • Title

    Further results on numerator polynomial matrix for feedforward learning control of MIMO plant with finite zeros

  • Author

    Lorlynn Asuncion Mateo;Kenji Sugimoto

  • Author_Institution
    Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan
  • fYear
    2015
  • fDate
    7/1/2015 12:00:00 AM
  • Firstpage
    594
  • Lastpage
    599
  • Abstract
    In the implementation of feedforward learning control, a two-degree-of-freedom (2DOF) structure is assumed where both feedforward (FF) control and feedback (FB) control blocks are used. The two controllers have designated tasks, namely, response shaping by the FF controller and plant stabilization by the FB controller. This article specifically proposes a design for FF learning control considering an unknown multi-input multi-output (MIMO) linear time-invariant plant with finite zeros. To treat the difficulties in the plant introduced by finite zeros, a numerator polynomial matrix fractional representation approach is proposed. The proposed scheme aims to achieve faster error convergence compared to the conventional scheme.
  • Keywords
    "MIMO","Polynomials","Feedforward neural networks","Convergence","Tuning","Context","Numerical simulation"
  • Publisher
    ieee
  • Conference_Titel
    Society of Instrument and Control Engineers of Japan (SICE), 2015 54th Annual Conference of the
  • Type

    conf

  • DOI
    10.1109/SICE.2015.7285409
  • Filename
    7285409