A Novel Approach for Multi-Stage Inference Fuzzy 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 | 2014-10-30T09:36:10Z | |
| dc.date.available | 2014-10-30T09:36:10Z | |
| dc.date.issued | 1998-12-01 | 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. In order to reduce the computation time, a method for precomputing the match-degrees of fuzzy values is adopted. Thus, the number of operations that must be carried out at execution time can be significantly reduced. The new method has been applied to two applications, a two-trailer-and-truck system and a three-trailer-and-truck system. The simulation studies showed that the proposed method is feasible. | en_US |
| dc.identifier | ntnulib_tp_E0402_01_008 | zh_TW |
| dc.identifier.issn | 1083-4419 | zh_TW |
| dc.identifier.uri | http://rportal.lib.ntnu.edu.tw/handle/20.500.12235/36882 | |
| dc.language | en | zh_TW |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | en_US |
| dc.relation | IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 28(6), 935-946. (SCI) | en_US |
| dc.relation.uri | http://dx.doi.org/10.1109/3477.735406 | zh_TW |
| dc.rights.uri | http://www.ieee.org/index.html | zh_TW |
| dc.subject.other | Fuzzy control | en_US |
| dc.subject.other | fuzzy rules | en_US |
| dc.subject.other | multistage fuzzy logic inference | en_US |
| dc.title | A Novel Approach for Multi-Stage Inference Fuzzy Control | en_US |