• DocumentCode
    3022996
  • Title

    Dynamic matrix control based on Elman neural network

  • Author

    Jing Bai ; Tiecheng Pu

  • Author_Institution
    Coll. of Electr. & Inf. Eng., Beihua Univ., Jilin, China
  • fYear
    2013
  • fDate
    20-22 Dec. 2013
  • Firstpage
    1083
  • Lastpage
    1086
  • Abstract
    Dynamic matrix control (for short DMC) algorithm is presented based on Elman neural network (for short ENN), because the ENN can character the dynamic nonlinear system. The basic idea is to predict the system further output by ENN, and to estimate the system dynamic matrix, and then to carry out the dynamic matrix control algorithm. The method can control the nonlinear dynamic system and break through the limitation of mathematical model. The simulation shows that the ENN has good prediction ability and the proposed method is effective.
  • Keywords
    neurocontrollers; nonlinear control systems; predictive control; DMC algorithm; ENN; Elman neural network; dynamic matrix control; dynamic nonlinear system; mathematical model; system dynamic matrix; Computers; Mechatronics; Dynamic matrix control; Elman neural network; dynamic nonlinear; identification; prediction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronic Sciences, Electric Engineering and Computer (MEC), Proceedings 2013 International Conference on
  • Conference_Location
    Shengyang
  • Print_ISBN
    978-1-4799-2564-3
  • Type

    conf

  • DOI
    10.1109/MEC.2013.6885223
  • Filename
    6885223