• DocumentCode
    547394
  • Title

    Control model for loading systems using higher order singular value decomposition

  • Author

    Orbán, Gabriella ; Rövi, András ; Várlaki, Péter

  • Author_Institution
    Dept. of Inf., Szechenyi Istvan Univ., Gyor, Hungary
  • Volume
    3
  • fYear
    2011
  • fDate
    10-12 June 2011
  • Firstpage
    754
  • Lastpage
    758
  • Abstract
    In this paper we present a method for constructing a control model of loading systems based on higher order singular decomposition (HOSVD) of a tensor. Modern logistics need control systems that are able to develop and improve the material and information flow by automating the control processes. We propose the application of linear parameter varying (LPV) structure by which non-linear systems can be controlled on the basis of linear control theories. Describing the system, modeling logistic processes require many uncertain input parameters. Using the proposed method the complexity of the model can be kept on a lower level.
  • Keywords
    linear systems; loading; logistics; nonlinear control systems; singular value decomposition; tensors; higher order singular value decomposition; information flow; linear control theory; linear parameter varying structure; loading system control model; logistic process; material flow; nonlinear system; tensor; uncertain input parameter; Load modeling; Loading; Logistics; Process control; Tensile stress; Vehicles; HOSVD; LPV model; adaptive behavior; loading system; multidimensional data approximation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Automation Engineering (CSAE), 2011 IEEE International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-8727-1
  • Type

    conf

  • DOI
    10.1109/CSAE.2011.5952783
  • Filename
    5952783