Details:

Personal Author:
Karr, C. L. ; Fleming, J. W. ; Vann, P. A.
Karr, C. L. ; Fleming, J. W. ; Vann, P. A. Less -
Corporate Authors:
United States. Bureau of Mines. ; University of Alabama.
United States. Bureau of Mines. ; University of Alabama. Less -
Description:
"The research described in the report is two-fold. First, the basic approach to developing a fuzzy logic controller (FLC) using genetic algorithms (GA's) is presented. The GA-designed FLC is developed for a specific physical system, a pH titration system. Second, empirical results are presented in which variations in the FLC implementation are compared. Specifically, the effects of altering five aspects of the pH FLC are considered: (1) membership function form, (2) number of fuzzy classes, (3) the center-of-area method, (4) implication operator, and (5) fuzzy rule form. Results indicate that the technique in which GA's are used to design FLC's is effective, and when this technique is used, variations in FLC implementation have little effect on FLC performance in a chosen control problem." - NIOSHTIC-2

This report is based upon research conducted under an agreement between the University of Alabama and the U.S. Bureau of Mines.

NIOSHTIC no. 19940101


Subjects:
[+]
Fuzzy Logic Genetic Algorithms Process Control
Series:
Report of investigations (United States. Bureau of Mines) ; 9515
Document Type:
Report
Collection(s):
Stephen B. Thacker CDC Library collection
Main Document Checksum:
[+]
urn:sha256:2711c685ac2e913bfe697f01162bd8ba8dced3c8467741e7e662d982a09be690
Download URL:
https://stacks.cdc.gov/view/cdc/10061/cdc_10061_DS1.pdf
File Type:

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