Straightforward involvement of the human fuzzy rules in controller design

  • Authors:

  • Hugang Han;Akira Ikuta

  • Affiliations:

  • Faculty of MIS, Prefectural University of Hiroshima, Hiroshima, Japan;Faculty of MIS, Prefectural University of Hiroshima, Hiroshima, Japan

  • Venue:
  • ACMOS'06 Proceedings of the 8th WSEAS international conference on Automatic control, modeling & simulation
  • Year:
  • 2006

Quantified Score

Hi-index 0.01

Visualization

Abstract

Although innumerable research has challenged the designed of fuzzy control systems from the standpoint of system stability, most of them are just considering the fuzzy (rules) system as an approximator to deal with the unknown functions in the plant to be coutrolled. Also, the fuzzy rules are changed completely from their origins, which are obtained based on the views of experts, after the parameters in the fuzzy ruels are tuned where the tuning law based on the demand of not the approximatedness but the system stability. Actually, the primary idea of fuzzy control is to employ the knowledge of experts in terms of human fuzzy rules to control a plant instead of the algorithm derived form the mathematical model of the plant. Clearly, if the original fuzzy rules are changed at all, what is the point of fuzzy control? In this paper, we focus our attention on how to involve the human fuzzy rules in a stable controller design.