國立臺灣師範大學機電工程學系Yeh, Zong-MuChen, Hung-Pin2014-10-302014-10-301996-12-110-7803-3687-9http://rportal.lib.ntnu.edu.tw/handle/20.500.12235/36905This paper presents a methodology for 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 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.http://www.ieee.org/index.htmlFuzzy controlMulti-stage fuzzy logic inferenceFuzzy rules