• DocumentCode
    2479998
  • Title

    A subspace/KL based modelling method for nonlinear distribution parameters systems

  • Author

    Lu, Xin-Jiang ; Li, Han-Xiong ; Qi, Chen-Kun

  • Author_Institution
    Dept. of Manuf. Eng. & Eng. Manage., City Univ. of Hong Kong, Hong Kong
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    1558
  • Lastpage
    1563
  • Abstract
    In this paper, a hybrid of the subspace method and the Karhunen-Loeve (KL) expansion method is developed to model the distribution parameters systems (DPS). This method is a pure data driving method which does not require any prior knowledge of the governing equations. The accuracies and efficiencies of the modeling methodology are verified by simulation.
  • Keywords
    Karhunen-Loeve transforms; distributed parameter systems; nonlinear control systems; Karhunen-Loeve expansion method; nonlinear distribution parameters systems; subspace-KL based modelling method; Distributed parameter systems; Eigenvalues and eigenfunctions; Equations; Intelligent control; Manufacturing automation; Moment methods; Pulp manufacturing; Research and development management; Robustness; Virtual manufacturing; Distributed Parameter Systems; KL expansion method; Subspace method; data driven;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4593151
  • Filename
    4593151
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2479998