Report of Investigations 9515: Aspects of Genetic Algorithm-Designed Fuzzy Logic Controllers

Details

• Personal Author:
  Fleming, J. W. ; Karr, Charles L. ; Vann, P. A.
• Corporate Authors:
  United States. Bureau of Mines ; University of Alabama
• 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. 10012432
  
  
• Subjects:
  Occupational Health Safety
• Series:
  Mining Publications
• Subseries:
  Report of Investigations
• Document Type:
  Text
• Genre:
  Report
• CIO:
  National Institute for Occupational Safety and Health (NIOSH)
• Topic:
  Workplace Safety & Health
• Location:
  North America
• Pages in Document:
  iv, 16 numbered pages
• NIOSHTIC Number:
  nn:10012432
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:3b4cff6580b10dafa46dd9fae34bee211cbe8a315a835e1910603c39cceed2cb0b098ef1e620b5273b1945cec1e158a9a6745b707d5dedeb0c37133014faff21
• Download URL:
  https://stacks.cdc.gov/view/cdc/10061/cdc_10061_DS1.pdf
• File Type:
  [PDF - 1.11 MB ]