A novel approach for multistage inference fuzzy control

Zong Mu Yeh, Hung Pin Chen

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This paper presents a methodology to the design of a multistage inference fuzzy controller in which the consequence in an inference stage is passed to the next stage as fact, and so forth. A new general method which is based on a performance index of the control system is used to generate fuzzy rule bases for the multistage inference. This proposed method can reduce the design cycle time. In order to reduce the computation time, a method for precomputing the match-degrees of fuzzy values is adopted. Thus, the number of operations that must be carried out at execution time can be significantly reduced. The new method has been applied to two applications, a two-trailer-and-truck system and a three-trailer-and-truck system. The simulation studies showed that the proposed method is feasible.

Original languageEnglish
Pages (from-to)935-946
Number of pages12
JournalIEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Volume28
Issue number6
DOIs
Publication statusPublished - 1998 Dec 1

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Keywords

  • Fuzzy control
  • Fuzzy rules
  • Multistage fuzzy logic inference

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Information Systems
  • Human-Computer Interaction
  • Computer Science Applications
  • Electrical and Electronic Engineering

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