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
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;
Conference_Titel :
Fuzzy Systems, 1992., IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0236-2
DOI :
10.1109/FUZZY.1992.258630