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  • 标题:On Fault-Tolerant Fuzzy Controllers Based on Shifting Fuzzy Variables
  • 本地全文:下载
  • 作者:Naotake KAMIURA ; Masashi TOMITA ; Teijiro ISOKAWA
  • 期刊名称:知能と情報
  • 印刷版ISSN:1347-7986
  • 电子版ISSN:1881-7203
  • 出版年度:2003
  • 卷号:15
  • 期号:1
  • 页码:98-110
  • DOI:10.3156/jsoft.15.98
  • 出版社:Japan Society for Fuzzy Theory and Intelligent Informatics
  • 摘要:In this paper, a fuzzy controller with the capability of compensating the influence of faults is discussed. A stuck-at fault in the membership function is assumed to be fault models. The proposed inference scheme locates a candidate regarded as faulty function, and then exchanges its probably false degree for one of the following values : O, the degree in the next function to the candidate, and the difference between the constant and the degree in the next function to the candidate. If a fault occurs in the consequent part, the proposed scheme shifts several fuzzy variables, and then forms the inference result by using the membership functions allocated newly to the variables. The modified deterministic output of the controller is obtained by shifting the center of gravity of the inference result. The amounts of these shifts are determined systematically. Experimental results for a commercial controller show that the proposed scheme is valid for any single stuck-at fault deviating the normal deterministic output of the controller.
  • 关键词:fault tolerance ; fuzzy control ; center of gravity method ; stuck at faults in membership functions ; on line testing
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