• DocumentCode
    3287237
  • Title

    Embedding fuzzy logic

  • Author

    Viot, Greg

  • Author_Institution
    Adv. Microcontroller Div., Motorola Inc., Austin, TX, USA
  • fYear
    1996
  • fDate
    4-6 Nov 1996
  • Firstpage
    221
  • Lastpage
    223
  • Abstract
    Fuzzy logic is an intuitive problem solving technique with widespread applicability, especially in the areas of control and decision making. In general, fuzzy logic is most useful in handling problems not easily definable by mathematical equations and models. However, fuzzy logic itself has a mathematical and deterministic basis to it. In fact, fuzzy systems are often built upon simple and predictable math operations, such as interpolation, min/max, and weighted averaging. The author illustrates the structure and operation of a fuzzy-based setpoint controller. The presented structure is abstracted from implementation details, such as data structures and algorithms
  • Keywords
    data structures; fuzzy control; interpolation; problem solving; real-time systems; data structures; deterministic basis; embedded control; fuzzy logic; fuzzy-based setpoint controller; interpolation; intuitive problem solving technique; weighted averaging; Application software; Chemical industry; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; RLC circuits; Temperature control; Three-term control; Voltage;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Northcon/96
  • Conference_Location
    Seattle, WA
  • Print_ISBN
    0-7803-3277-6
  • Type

    conf

  • DOI
    10.1109/NORTHC.1996.564881
  • Filename
    564881