An adaptive system for process control

Details

• Personal Author:
  Gentry, E. J. ; Karr, Charles L. ; Stanley, Donald A.
• Corporate Authors:
  United States. Bureau of Mines ; University of Alabama
• Description:
  "Researchers at the U.S. Bureau of Mines have developed adaptive process control system in which genetic algorithms (GAs) are used to augment fuzzy logic controllers (FLCs). GAs are search algorithms that rapidly locate near-optimum solutions to a wide spectrum of problems by loosely modeling the search procedures of natural genetics. FLCs are rule based systems which efficiently manipulate a problem environment by modeling the 'rule-of-thumb' strategy used in human decision making. Together, GAs and FLCs include all of the capabilities necessary to produce powerful, efficient, and robust adaptive control systems." - NIOSHTIC-2
  
  NIOSHTIC no. 20039275
  
  
• 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, 18 numbered pages
• NIOSHTIC Number:
  nn:20039275
• Collection(s):
  National Institute for Occupational Safety and Health
• Main Document Checksum:
  urn:sha-512:d36130b7ff48560f84ba6aeb9fc9a132a5c412b26940a4fbb5df8916a9bf3b3fc7b9d795c5f1b6eb6a9d5c88a71ad7f63159143033b6f5d50895177daeb15989
• Download URL:
  https://stacks.cdc.gov/view/cdc/10054/cdc_10054_DS1.pdf
• File Type:
  [PDF - 1.46 MB ]