A Bi-tree Multi-stage Inference Fuzzy Control System
dc.contributor | 國立臺灣師範大學機電工程學系 | zh_tw |
dc.contributor.author | Yeh, Zong-Mu | en_US |
dc.contributor.author | Chen, Hung-Pin | en_US |
dc.date.accessioned | 2014-10-30T09:36:11Z | |
dc.date.available | 2014-10-30T09:36:11Z | |
dc.date.issued | 1996-12-11 | zh_TW |
dc.description.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. | en_US |
dc.description.uri | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=583556 | zh_TW |
dc.identifier | ntnulib_tp_E0402_02_013 | zh_TW |
dc.identifier.isbn | 0-7803-3687-9 | zh_TW |
dc.identifier.uri | http://rportal.lib.ntnu.edu.tw/handle/20.500.12235/36905 | |
dc.language | en | zh_TW |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
dc.relation | Proceedings of 1996 Asian Fuzzy Systems Symposium, 55-60. | en_US |
dc.relation.uri | http://dx.doi.org/10.1109/AFSS.1996.583556 | zh_TW |
dc.rights.uri | http://www.ieee.org/index.html | zh_TW |
dc.subject.other | Fuzzy control | en_US |
dc.subject.other | Multi-stage fuzzy logic inference | en_US |
dc.subject.other | Fuzzy rules | en_US |
dc.title | A Bi-tree Multi-stage Inference Fuzzy Control System | en_US |