• DocumentCode
    3796203
  • Title

    If approximating nonlinear areas, then consider fuzzy systems

  • Author

    Simon Oblak;Igor Skrjanc;Saso Blazic

  • Author_Institution
    Fac. of Electr. Eng., Ljubljana Univ.
  • Volume
    25
  • Issue
    6
  • fYear
    2006
  • Firstpage
    18
  • Lastpage
    23
  • Abstract
    The fuzzy system is a knowledge-based system consisting of linguistic if-then rules. This article will focus on the Takagi-Sugeno (TS) type models. A novel approach of INFUMO has been applied in fault detection. The INFUMO was derived using the linfin-norm function approximation. The majority of papers focus on the construction of the so-called residual generator, a comparator of the process and the process-model output that creates a residual signal
  • Keywords
    "Fuzzy systems","Fuzzy sets","Vectors","Robustness","Uncertainty","Transfer functions","Uncertain systems","Signal design","Signal processing","Testing"
  • Journal_Title
    IEEE Potentials
  • Publisher
    ieee
  • ISSN
    0278-6648
  • Type

    jour

  • DOI
    10.1109/P-M.2006.248052
  • Filename
    4013571