A defuzzification strategy for a fuzzy logic controller employing prohibitive information in command formulation

Nathan Pfluger, John Yen, Reza Langari

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

49 Scopus citations

Abstract

A defuzzification strategy is presented that can handle the possibility of conflicting control commands during the defuzzification process while still producing smooth transitions. The strategy, which is the centroid of the largest area, has parameters that can be chosen to make it behave like both the centroid strategy and the mean of the maximum membership strategy. The strategy addresses the problem of prohibitive information in fuzzy control command formulation. This strategy was applied to a mobile robot path execution system and it was shown that this strategy overcomes some of the deficiencies of other strategies. This strategy not only makes the best choice when several are given, but also avoids abrupt transitions in the control command.

Original languageEnglish (US)
Title of host publication92 IEEE Int Conf Fuzzy Syst FUZZ-IEEE
PublisherPubl by IEEE
Pages717-723
Number of pages7
ISBN (Print)0780302362
StatePublished - 1992
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

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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    Pfluger, N., Yen, J., & Langari, R. (1992). A defuzzification strategy for a fuzzy logic controller employing prohibitive information in command formulation. In 92 IEEE Int Conf Fuzzy Syst FUZZ-IEEE (pp. 717-723). Publ by IEEE.