An Adaptive System for Process Control

One of 424 reports in the series: Report of investigations (United States. Bureau of Mines) available on this site.
Thumbnail image of item number 1 in: 'An Adaptive System for Process Control'.
Thumbnail image of item number 2 in: 'An Adaptive System for Process Control'.
Thumbnail image of item number 3 in: 'An Adaptive System for Process Control'.
Thumbnail image of item number 4 in: 'An Adaptive System for Process Control'.
Showing 1-4 of 24 pages in this report.

PDF Version Also Available for Download.

Description

Abstract: Researchers at the U.S. Bureau of Mines (USBM) have developed adaptive process control systems in which genetic algorithms (GA's) are used to augment fuzzy logic controllers (FLC's). GA's are search algorithms that rapidly locate near-optimum solutions to a wide spectrum of problems by loosely modeling the search procedures of natural genetics. FLC's are rule-based systems that efficiently manipulate a problem environment by modeling the "rule-of-thumb" strategy used in human decisionmaking. Together, GA's and FLC's include all of the capabilities necessary to produce powerful, efficient, and robust adaptive control systems. To perform efficiently, such control systems require a cont element … continued below

Physical Description

18 p. : ill., charts ; 28 cm.

Creation Information

Karr, Charles L.; Gentry, E. J. & Stanley, D. A. 1995.

Context

This report is part of the collection entitled: Technical Report Archive and Image Library and was provided by the UNT Libraries Government Documents Department to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 36 times. More information about this report can be viewed below.

Who

People and organizations associated with either the creation of this report or its content.

Authors

Originator

Publisher

Audiences

We've identified this report as a primary source within our collections. Researchers, educators, and students may find this report useful in their work.

Provided By

UNT Libraries Government Documents Department

Serving as both a federal and a state depository library, the UNT Libraries Government Documents Department maintains millions of items in a variety of formats. The department is a member of the FDLP Content Partnerships Program and an Affiliated Archive of the National Archives.

About | Browse this Partner

Contact Us

Corrections Questions

What

Descriptive information to help identify this report. Follow the links below to find similar items on the Digital Library.

Titles

Description

Abstract: Researchers at the U.S. Bureau of Mines (USBM) have developed adaptive process control systems in which genetic algorithms (GA's) are used to augment fuzzy logic controllers (FLC's). GA's are search algorithms that rapidly locate near-optimum solutions to a wide spectrum of problems by loosely modeling the search procedures of natural genetics. FLC's are rule-based systems that efficiently manipulate a problem environment by modeling the "rule-of-thumb" strategy used in human decisionmaking. Together, GA's and FLC's include all of the capabilities necessary to produce powerful, efficient, and robust adaptive control systems. To perform efficiently, such control systems require a cont element to manipulate the problem environment, an analysis element to recognize changes in the problem environment, and an adaptive element to adjust to the changes in the problem environment. The control system also employs a computer simulation of the problem environment. Details of an overall adaptive control system are discussed. A specific laboratory acid-base pH system is used to demonstrate the ideas presented; all results are from the physical laboratory system and not from a computer simulation.

Physical Description

18 p. : ill., charts ; 28 cm.

Notes

Digitized from microfiche (1).

Subjects

Library of Congress Subject Headings

Language

Item Type

Identifier

Unique identifying numbers for this report in the Digital Library or other systems.

  • OCLC: 894579517
  • Report No.: Bureau of Mines Report of Investigations 9563
  • Archival Resource Key: ark:/67531/metadc304125

Collections

This report is part of the following collection of related materials.

Technical Report Archive and Image Library

The Technical Report Archive & Image Library (TRAIL) identifies, acquires, catalogs, digitizes and provides unrestricted access to U.S. government agency technical reports. The mission of TRAIL is to ensure preservation, discoverability, and persistent open access to government technical publications regardless of form or format.

About | Browse this Collection

What responsibilities do I have when using this report?

Digital Files

When

Dates and time periods associated with this report.

Creation Date

  • 1995

Added to The UNT Digital Library

  • Jan. 14, 2017, 10:15 p.m.

Description Last Updated

  • Nov. 21, 2017, 7:44 p.m.

Usage Statistics

When was this report last used?

Yesterday: 0
Past 30 days: 0
Total Uses: 36
More Statistics

Interact With This Report

Here are some suggestions for what to do next.

Start Reading

Thumbnail image of item number 1 in: 'An Adaptive System for Process Control'.
Thumbnail image of item number 2 in: 'An Adaptive System for Process Control'.
Thumbnail image of item number 3 in: 'An Adaptive System for Process Control'.
Thumbnail image of item number 4 in: 'An Adaptive System for Process Control'.

PDF Version Also Available for Download.

Citations, Rights, Re-Use

International Image Interoperability Framework

IIF Logo

We support the IIIF Presentation API

Links for Robots

Helpful links in machine-readable formats.

Archival Resource Key (ARK)

International Image Interoperability Framework (IIIF)

Metadata Formats

Images

URLs

Stats

Karr, Charles L.; Gentry, E. J. & Stanley, D. A. An Adaptive System for Process Control, report, 1995; Washington D.C.. (https://digital.library.unt.edu/ark:/67531/metadc304125/: accessed May 30, 2024), University of North Texas Libraries, UNT Digital Library, https://digital.library.unt.edu; crediting UNT Libraries Government Documents Department.

Back to Top of Screen