• DocumentCode
    2669548
  • Title

    Data-driven subspace identification and predictive control for a NIAT process platform

  • Author

    Wang, Lu ; Li, Ning ; Li, Shaoyuan

  • Author_Institution
    Dept. of Autom., Shanghai Jiao Tong Univ., Shanghai, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    1648
  • Lastpage
    1653
  • Abstract
    In this paper, a data-driven subspace identification method and a model predictive controller are presented for a NIAT platform. First, a data-driven subspace identification method for the process modeling is used. Based on the model, we design a predictive controller. Then considering SISO/ TITO cases of the platform respectively. Both the modeling and control effectiveness of the proposed methods are validated by the experiments´ results.
  • Keywords
    control system synthesis; identification; predictive control; process control; NIAT process platform; SISO platform; TITO platform; data-driven subspace identification method; model predictive controller; predictive controller design; process modeling; Equations; Mathematical model; Predictive control; Predictive models; Valves; Water heating; Data-driven; NIAT platform; model predictive control; subspace identification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2012 24th Chinese
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4577-2073-4
  • Type

    conf

  • DOI
    10.1109/CCDC.2012.6244263
  • Filename
    6244263