• DocumentCode
    286704
  • Title

    Fuzzy prediction of time series

  • Author

    Khedkar, Pratap S. ; Keshav, Srinivasan

  • Author_Institution
    Dept. of Electr., Eng. & Comput. Sci., California Univ., Berkeley, CA, USA
  • fYear
    1992
  • fDate
    8-12 Mar 1992
  • Firstpage
    281
  • Lastpage
    288
  • Abstract
    An approach to time series extrapolation based on fuzzy control is described. The standard exponential averaging scheme is inflexible in that it gives a fixed weight to past history, thus ignoring transient phases in system dynamics. A modification to the scheme where the control parameter of the averaging scheme is dynamically adjusted by a simple fuzzy logic controller is presented. The design of the controller is described. The scheme was evaluated by simulation on test workloads and by application to the real-world problem of flow control in communication networks. The sensitivity of the system to its descriptive parameters is outlined
  • Keywords
    extrapolation; filtering and prediction theory; fuzzy control; time series; communication networks; descriptive parameters; flow control; fuzzy control; fuzzy logic controller; fuzzy prediction; sensitivity; time series extrapolation; Colored noise; Communication networks; Communication system control; Computer science; Extrapolation; Fuzzy control; Fuzzy logic; Gaussian noise; History; Kalman filters; Power system modeling; Random variables; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1992., IEEE International Conference on
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    0-7803-0236-2
  • Type

    conf

  • DOI
    10.1109/FUZZY.1992.258630
  • Filename
    258630