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.
|Number of pages||6|
|Publication status||Published - 1996|
|Event||Proceedings of the 1996 Asian Fuzzy Systems Symposium - Kenting, Taiwan|
Duration: 1996 Dec 11 → 1996 Dec 14
|Conference||Proceedings of the 1996 Asian Fuzzy Systems Symposium|
|Period||1996/12/11 → 1996/12/14|
ASJC Scopus subject areas