• DocumentCode
    1767357
  • Title

    Interval type-2 Takagi-Sugeno-Kang fuzzy logic approach for three-tank system modeling

  • Author

    Maalej, Imen ; Rekik, Chokri ; Ben Halima Abid, Donia ; Derbel, N.

  • Author_Institution
    Sfax Eng. Sch., Univ. of SfaxSfax, Sfax, Tunisia
  • fYear
    2014
  • fDate
    1-4 June 2014
  • Firstpage
    144
  • Lastpage
    149
  • Abstract
    This paper concerns the use of fuzzy structures to model non linear dynamic systems. An interval type-2 Takagi Sugeno Kang fuzzy logic systems (IT2 TSK FLSs) is proposed. The proposed approach is a combination of IT2 fuzzy system and TSK fuzzy models and it presents an extension of the type-1 Takagi Sugeno Kang fuzzy logic system (T1 TSK FLSs). The interval type-2 fuzzy sets provide additional degrees of freedom and offer the capability to directly handle uncertainties. Different steps of this approach are described. The performance of the IT2 TSK FLSs is compared to the traditional T1 TSK FLSs. Simulation results performed on three tank system illustrate the efficiency of the suggested method.
  • Keywords
    fuzzy logic; fuzzy set theory; fuzzy systems; nonlinear dynamical systems; tanks (containers); uncertainty handling; water storage; IT2 TSK FLSs; IT2 fuzzy system; TSK fuzzy models; degrees of freedom; fuzzy structures; interval type-2 Takagi-Sugeno-Kang fuzzy logic systems; nonlinear dynamic system modeling; three-tank system modeling; type-1 Takagi Sugeno Kang fuzzy logic system extension; uncertainty handling; Engines; Frequency selective surfaces; Fuzzy logic; Fuzzy sets; Simulation; Uncertainty; Vectors; Fuzzy rules; IT2 TSK FLSs; T1 TSK FLSs; modeling; type-2 fuzzy sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics (ISIE), 2014 IEEE 23rd International Symposium on
  • Conference_Location
    Istanbul
  • Type

    conf

  • DOI
    10.1109/ISIE.2014.6864601
  • Filename
    6864601