DocumentCode
490498
Title
Model Identification for Fuzzy Dynamic Systems
Author
Wu, Q.M. ; de Silva, C.W.
Author_Institution
University of British Columbia, Vancouver, Canada
fYear
1993
fDate
2-4 June 1993
Firstpage
2246
Lastpage
2247
Abstract
This paper presents methods for identifying the structure of a fussy model and determination of a fussy ruleset which maps input data to output data of a dynamic system. The structure identification is based on the evaluation of `conflicting rules´ in fussy associative memory (FAM) cells, and the primary rule-set is obtained by using the adaptive fussy associative memory (AFAM) method. A neural-network-based error compensator is developed to improve the accuracy of the fussy model.
Keywords
Accuracy; Delay; Equations; Fuzzy sets; Fuzzy systems; Predictive models; Quantization; Virtual colonoscopy;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1993
Conference_Location
San Francisco, CA, USA
Print_ISBN
0-7803-0860-3
Type
conf
Filename
4793283
Link To Document