Adaptive fuzzy control via modification of linguistic variables

Jian Fei, Can Isik

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

7 Scopus citations

Abstract

A fuzzy knowledge-based control system developed for mobile robot motion control is introduced. The method for deriving a fuzzy knowledge-base is established, based on a commercially available mobile robot. The adaptation method for fuzzy knowledge-based systems reacts to environmental variations and modifies the definitions of linguistic state variables instead of modifying the knowledge-base itself. Some simulation results are presented to demonstrate that the proposed adaptive scheme makes significant improvements in system performance even when there are severe environmental variations.

Original languageEnglish (US)
Title of host publication92 IEEE Int Conf Fuzzy Syst FUZZ-IEEE
PublisherIEEE Computer Society
Pages399-406
Number of pages8
ISBN (Print)0780302362
StatePublished - 1992
Externally publishedYes
Event1992 IEEE International Conference on Fuzzy Systems - FUZZ-IEEE - San Diego, CA, USA
Duration: Mar 8 1992Mar 12 1992

Other

Other1992 IEEE International Conference on Fuzzy Systems - FUZZ-IEEE
CitySan Diego, CA, USA
Period3/8/923/12/92

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ASJC Scopus subject areas

  • Engineering(all)

Cite this

Fei, J., & Isik, C. (1992). Adaptive fuzzy control via modification of linguistic variables. In 92 IEEE Int Conf Fuzzy Syst FUZZ-IEEE (pp. 399-406). IEEE Computer Society.