A fuzzy learning system emulating a human tracking operator

Author

Krüger, J.J. ; Shaw, I.S.

Author_Institution

Cybernetics Lab., Rand Afrikaans Univ., Johannesburg, South Africa

fYear

1990

fDate

3-5 Dec 1990

Firstpage

25

Lastpage

28

Abstract

The authors describe a recursive fuzzy estimator in fuzzy state machine terms and a probabilistic fuzzy identifier, which together form elements of a fuzzy modelling technique capable of emulating a prototype dynamic system, of which only the input-output behaviour is known. The model was successfully applied to emulate the behaviour of a human controller in a tracking loop. It is indicated how this learning system can be implemented in terms of a number of computational formations organized in a parallel processing architecture

Keywords

automata theory; fuzzy set theory; learning systems; fuzzy learning system; fuzzy state machine; human controller; human tracking operator; parallel processing architecture; probabilistic fuzzy identifier; recursive fuzzy estimator; tracking loop; Computer architecture; Concurrent computing; Fuzzy systems; Humans; Learning systems; Parallel processing; Prototypes; Recursive estimation; State estimation; Tracking loops;

fLanguage

English

Publisher

ieee

Conference_Titel

Uncertainty Modeling and Analysis, 1990. Proceedings., First International Symposium on

Conference_Location

College Park, MD

Print_ISBN

0-8186-2107-9

Type

conf

DOI

10.1109/ISUMA.1990.151216

Filename

151216