Fuzzy inversion and rule base reduction

Peter Baranyi, Peter Korondi, Hideki Hashimoto, Massaki Wada

Research output: Paper

26 Citations (Scopus)

Abstract

This paper proposes a new design method based on linguistic model inversion and fuzzy rule reduction using singular value decomposition. Firstly, a piecewise linear fuzzy approximation of the controlled plant is identified by measurement. Secondly, the linear cells of the fuzzy model is inverted to achieve a controller. The inversion increases the fuzzy rule base. Thirdly, the redundant or small weighted information are removed from the fuzzy rule base. Experimental results of a transputer controlled single-degree-of-freedom motion control system are presented. The experimental system consists of a conventional DC servo gear motor with encoder feedback and variable inertia load coupled by a relatively rigid shaft.

Original languageEnglish
Pages301-306
Number of pages6
Publication statusPublished - dec. 1 1997
EventProceedings of the 1997 International Conference on Intelligent Engineering Systems, INES - Budapest, Hungary
Duration: szept. 15 1997szept. 17 1997

Other

OtherProceedings of the 1997 International Conference on Intelligent Engineering Systems, INES
CityBudapest, Hungary
Period9/15/979/17/97

ASJC Scopus subject areas

  • Engineering(all)
  • Materials Science(all)

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    Baranyi, P., Korondi, P., Hashimoto, H., & Wada, M. (1997). Fuzzy inversion and rule base reduction. 301-306. Paper presented at Proceedings of the 1997 International Conference on Intelligent Engineering Systems, INES, Budapest, Hungary, .