• DocumentCode
    3118083
  • Title

    The derivation of the analytical structure of a class of Interval type-2 fuzzy PD and PI controllers

  • Author

    Nie, Maowen ; Tan, Woei Wan

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
  • fYear
    2011
  • fDate
    27-30 June 2011
  • Firstpage
    635
  • Lastpage
    642
  • Abstract
    Analytical structure of a fuzzy logic system (FLS) is to establish its mathematical input-output relationship. In this paper, the analytical structure of a class of Interval type 2 (IT2) fuzzy PD and PI controllers are derived by dividing the input space and identifying the input-output relationship for each region. Unlike the symmetric fuzzy PD and PI controller [12] which have three different consequent sets H4 <; H3 = H2 <; H1, the IT2 fuzzy PD and PI controllers considered in this paper have four different consequent sets H4 <; H3 <; H2 <; H1. Compared with the symmetric IT2 fuzzy controllers investigated in [12], the relatively large number of divisions of the input space indicates the potential of this class of IT2 fuzzy controllers in achieving better performance. The equations describing the input output relationship for each region provide mathematical tools for further investigations of these IT2 fuzzy PD controllers.
  • Keywords
    PI control; fuzzy control; fuzzy set theory; three-term control; type theory; IT2 fuzzy controller; PI controller; analytical structure; consequent set; fuzzy logic system; interval type 2 fuzzy PD controller; mathematical input-output relationship; Aerospace electronics; Frequency selective surfaces; Fuzzy logic; Mathematical model; PD control; Switches; Upper bound; Interval type-2 fuzzy logic system; Karnik-Mendel type-reduction method; analytical structure; fuzzy PD and PI controller;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-7315-1
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2011.6007394
  • Filename
    6007394