Multi-stage Inference Fuzzy Logic Control
| 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 | 1997-07-01 | zh_TW |
| dc.description.abstract | This paper presents a methodology to the design of a multistage 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 multistage inference. This proposed method can reduce the design cycle time. The new method has been applied to a two-trailer-and-truck system. The simulation studies showed that proposed method is feasible. | en_US |
| dc.description.uri | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=622871 | zh_TW |
| dc.identifier | ntnulib_tp_E0402_02_014 | zh_TW |
| dc.identifier.isbn | 0-7803-3796-4 | zh_TW |
| dc.identifier.uri | http://rportal.lib.ntnu.edu.tw/handle/20.500.12235/36906 | |
| dc.language | en | zh_TW |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.relation | Proceedings of 6th IEEE Conference on Fuzzy Systems, 2, 1153 - 1158. | en_US |
| dc.relation.uri | http://dx.doi.org/10.1109/FUZZY.1997.622871 | 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 | en_US |
| dc.subject.other | inference | en_US |
| dc.subject.other | Fuzzy rules | en_US |
| dc.title | Multi-stage Inference Fuzzy Logic Control | en_US |