Fuzzy and neural networks controller
- 9 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- p. 1437-1442
- https://doi.org/10.1109/iecon.1991.239131
Abstract
The authors propose the use of back-propagation to produce a fuzzy controller. In this case two kinds of neural networks are trained: the first kind uses simple numerical data to obtain the membership functions, and the second kind is trained with 0s and 1s to obtain the fuzzy rules. The results show that it is possible to obtain a fuzzy controller without too much data to train the nets. Computer simulations were carried out. The controller was used to control the position of a DC motor. The results show a fast response of the motor without overshoot.Keywords
This publication has 2 references indexed in Scilit:
- An introduction to computing with neural netsIEEE ASSP Magazine, 1987
- An introductory survey of fuzzy controlInformation Sciences, 1985