• DocumentCode
    3706008
  • Title

    Global optimization method for model predictive control based on Wiener model

  • Author

    Hajer Degachi;Wassila Chagra;Moufida Ksouri

  • Author_Institution
    Tunis El Manar University, National Engineering School of Tunis, LR11ES20, Analysis, Conception and Control of Systems Laboratory
  • fYear
    2015
  • fDate
    3/1/2015 12:00:00 AM
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper deals with model predictive control based on Wiener model. The nonlinear block of the considered model is represented by a polynomial relation and the model´s parameters are determined using the neural networks. A global optimization method, i.e. the generalized geometric programming method, is used to solve the nonconvex optimization control problem. The efficiency of the proposed controller is illustrated through a simulation example.
  • Keywords
    "Predictive models","Predictive control","Neural networks","Programming","Computational modeling","Cost function"
  • Publisher
    ieee
  • Conference_Titel
    Systems, Signals & Devices (SSD), 2015 12th International Multi-Conference on
  • Type

    conf

  • DOI
    10.1109/SSD.2015.7348174
  • Filename
    7348174
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3706008