• DocumentCode
    3601509
  • Title

    Controllability Analysis of Two-Dimensional Systems Using 1D Approaches

  • Author

    Argha, Ahmadreza ; Li Li ; Su, Steven W. ; Hung Nguyen

  • Author_Institution
    Fac. of Eng. & Inf. Technol., Univ. of Technol., Sydney, NSW, Australia
  • Volume
    60
  • Issue
    11
  • fYear
    2015
  • Firstpage
    2977
  • Lastpage
    2982
  • Abstract
    Working with the 1D form of 2D systems is an alternative strategy to reduce the inherent complexity of 2D systems. To achieve the 1D form of 2D systems, different from the so-called WAM model, a new row (column) process was proposed recently. The controllability analysis of this new 1D form is explored in this note. Two new notions of controllability named WAM-controllability and directional controllability for the underlying 2D systems are defined. Corresponding conditions on the WAM-controllability and directional controllability are derived, which are particularly useful for the control problems of 2D systems via 1D framework. According to the presented directional controllability, a directional minimum energy control input is derived for 2D systems. A numerical example demonstrates the applicability of the presented analysis.
  • Keywords
    control system analysis; controllability; 1D approach; WAM model; WAM-controllability notion; controllability analysis; directional controllability notion; directional minimum energy control; two-dimensional systems; Analytical models; Boundary conditions; Controllability; Frequency modulation; Mathematical model; Numerical models; Vectors; 2D systems; Controllability analysis; WAM model; WAM model.; controllability analysis, local controllability,; directional controllability; first FM model; local controllability;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2015.2409908
  • Filename
    7054527