• DocumentCode
    184293
  • Title

    Fault detection and isolation of Fornasini-Marchesini 2D systems: A geometric approach

  • Author

    Baniamerian, Amir ; Meskin, N. ; Khorasani, K.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, QC, Canada
  • fYear
    2014
  • fDate
    4-6 June 2014
  • Firstpage
    5527
  • Lastpage
    5533
  • Abstract
    The fault detection and isolation (FDI) problem for discrete-time two-dimensional (2D) systems represented by the Fornasini-Marchesini model II is investigated in this work. It is shown that the sufficient conditions for solvability of the FDI problem that we have developed recently for the Roesser model is also applicable to this class of 2D systems. In this paper, we are mainly concerned with the necessary conditions. Two sets of necessary conditions for the solvability of the FDI problem are derived. The first necessary condition involves a new set of invariant subspaces that has no one-dimensional (1D) equivalency. The second set which is consistent with its equivalent 1D case is derived, generically (from the algebraic geometry point of view). A numerical example is also provided to illustrate the application of the results.
  • Keywords
    computability; discrete time systems; fault diagnosis; multidimensional systems; 1D equivalency; FDI problem; Fornasini-Marchesini 2D system; Fornasini-Marchesini model; Roesser model; discrete-time two-dimensional system; fault detection and isolation; geometric approach; invariant subspaces; necessary condition; one-dimensional equivalency; solvability; sufficient condition; Computational modeling; Equations; Fault detection; Geometry; Mathematical model; Three-dimensional displays; Vectors; Distributed parameter systems; Fault detection/accomodation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2014
  • Conference_Location
    Portland, OR
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4799-3272-6
  • Type

    conf

  • DOI
    10.1109/ACC.2014.6859030
  • Filename
    6859030