Integration of DNA and Real Coded GA for the design of PID-like fuzzy controllers

Chun Te Wu, Jin Ping Tien, Tzuu-Hseng S. Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

In this paper, a novel computing methodology called DNA-RGA computing algorithm, which combines the characteristics of DNA and Real Coded Genetic algorithm, is proposed to design fuzzy controller and to improve the performance of systems. In order to explore the major merit of DNA-RGA computing algorithm in the field of control systems, this paper presents a variable PID-like fuzzy controller design based on aforementioned methodology to attain the proper types of controllers, such as P-like, PD-like, PI-like, or PID-like fuzzy controllers, corresponding to different plants. Finally, the simulation results demonstrate the validity and feasibility of the proposed methodology.

Original languageEnglish
Title of host publicationProceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012
Pages2809-2814
Number of pages6
DOIs
Publication statusPublished - 2012 Dec 1
Event2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012 - Seoul, Korea, Republic of
Duration: 2012 Oct 142012 Oct 17

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)1062-922X

Other

Other2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012
CountryKorea, Republic of
CitySeoul
Period12-10-1412-10-17

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Human-Computer Interaction

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    Wu, C. T., Tien, J. P., & Li, T-H. S. (2012). Integration of DNA and Real Coded GA for the design of PID-like fuzzy controllers. In Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012 (pp. 2809-2814). [6378174] (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). https://doi.org/10.1109/ICSMC.2012.6378174