DocumentCode :
1330184
Title :
Probabilistic fuzzy model for dynamic systems
Author :
Ridley, J.N.
Author_Institution :
Univ. of the Witwatersrand, Johannesburg
Volume :
24
Issue :
14
fYear :
1988
fDate :
7/7/1988 12:00:00 AM
Firstpage :
890
Lastpage :
892
Abstract :
The authors present a model, based on a fuzzy relation obtained from fuzzy referential sets on the input and output spaces, for predicting the behaviour of nonlinear dynamic systems. The model can be made to learn from experience, and the computing requirements are modest, making online application feasible. Some numerical results are compared with those of earlier models
Keywords :
fuzzy set theory; learning systems; nonlinear systems; parameter estimation; probability; sampled data systems; fuzzy referential sets; nonlinear dynamic systems; parameter identification; probabilistic fuzzy model; self learning procedure;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
Filename :
8407
Link To Document :
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