Bi-tree multi-stage inference fuzzy control system

Z. M. Yeh*, H. P. Chen

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review


This paper presents a methodology to the design of a binary tree multi-stage 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 bi-tree multi-stage inference. This proposed method can be used to reduce the complexity of fuzzy rule sets. The new method has been applied to control a truck-and-two-trailer system. The simulation studies showed that the proposed method is feasible.

Original languageEnglish
Number of pages6
Publication statusPublished - 1996
EventProceedings of the 1996 Asian Fuzzy Systems Symposium - Kenting, Taiwan
Duration: 1996 Dec 111996 Dec 14


ConferenceProceedings of the 1996 Asian Fuzzy Systems Symposium
CityKenting, Taiwan

ASJC Scopus subject areas

  • General Engineering


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