Title :
A bi-tree multi-stage inference fuzzy control system
Author :
Yeh, Zong-Mu ; Chen, Hung-Pin
Author_Institution :
Dept. of Ind. Educ., Nat. Taiwan Normal Univ., Taipei, Taiwan
Abstract :
This 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
Keywords :
computational complexity; fuzzy control; inference mechanisms; knowledge based systems; binary tree; fuzzy control system; fuzzy rule bases; fuzzy rule sets; inference stage; multi-stage; multi-stage inference; truck-and-two-trailer system; Control systems; Design methodology; Electrical equipment industry; Engines; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Input variables; Performance analysis;
Conference_Titel :
Fuzzy Systems Symposium, 1996. Soft Computing in Intelligent Systems and Information Processing., Proceedings of the 1996 Asian
Conference_Location :
Kenting
Print_ISBN :
0-7803-3687-9
DOI :
10.1109/AFSS.1996.583556
