On Design Intelligent Control System by Fussion of Fuzzy Logic and Genetic Algorithms 


Vol. 6,  No. 4, pp. 952-958, Apr.  1999
10.3745/KIPSTE.1999.6.4.952


PDF
  Abstract

This paper presented the application of GAs as a means of finding optimal solutions over a parameter space in the controller design for fuzzy control system. The performance can involve a weighted combination of various performance characteristics such as rise-time, settling-time, overshoot. The results obtained here are compared with those for a traditional design obtained using the root-locus method. In contrast to traditional methods, the GA-based method does not require the usual mathematical processes or mathematical model of the system. In this paper, the GA-based Fuzzy control system combining Fuzzy control theory with the GA, that is known to be very effective in the optimization problem, will be proposed. The effectiveness of the proposed control system will be demonstrated by computer simulations using task tracking position system in stable and unstable linear systems. It is shown that the GA-based controller is better than the traditional controller used in stable and unstable linear systems.

  Statistics
  Cite this article

[IEEE Style]

L. M. Rey and K. T. Eun, "On Design Intelligent Control System by Fussion of Fuzzy Logic and Genetic Algorithms," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 6, no. 4, pp. 952-958, 1999. DOI: 10.3745/KIPSTE.1999.6.4.952.

[ACM Style]

Lee Mal Rey and Kim Tae Eun. 1999. On Design Intelligent Control System by Fussion of Fuzzy Logic and Genetic Algorithms. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 6, 4, (1999), 952-958. DOI: 10.3745/KIPSTE.1999.6.4.952.

Forms

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)

Old Journals

Indexing

All publications of TKIPS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.

TKIPS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).

Related Journals