Modified defuzzifier for control of the inverted pendulum using learning

Jeen Shing Wang, Robert McLaren

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)

Abstract

This paper introduces a novel defuzzification procedure to segment the input domains and assign selectable gain factors. With proper factor values in the defuzzifier, a fuzzy logic controller can speed-up the transient response without affecting stability. In addition, an instability due to inappropriate control rules can be accommodated. Also, the proposed defuzzifier can improve the system performance by using a Genetic Algorithm to learn the gain factors.

Original languageEnglish
Pages118-123
Number of pages6
Publication statusPublished - 1997 Dec 1
EventProceedings of the 1997 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'97 - Syracuse, NY, USA
Duration: 1997 Sep 211997 Sep 24

Other

OtherProceedings of the 1997 Annual Meeting of the North American Fuzzy Information Processing Society, NAFIPS'97
CitySyracuse, NY, USA
Period97-09-2197-09-24

All Science Journal Classification (ASJC) codes

  • Computer Science(all)
  • Mathematics(all)

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