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  • 标题:A Generalized Inference-Based Prognosis Framework for Discrete Event Systems
  • 本地全文:下载
  • 作者:Shigemasa Takai ; Ratnesh Kumar
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:6819-6824
  • DOI:10.1016/j.ifacol.2017.08.1201
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractWe previously introduced an inference-based framework for decentralized prognosis of discrete event systems, and formulated the notion of N-inference V-prognosability to characterize the existence of a disjunctive decentralized prognosis scheme such that any fault can be predicted prior to its occurrence by at least one of the prognosers, using at most N-levels of inferencing. While the disjunctive scheme relies on one of the prognosers making a positive decision, the dual conjunctive scheme relies on none of the prognosers making a negative decision. It is known that the two schemes are incomparable, and in this paper we extend our earlier work to provide a more general framework, by introducing a notion of N-inference prognosability, that captures both disjunctive and conjunctive schemes. We also develop a method for verifying N-inference prognosability.
  • 关键词:KeywordsDiscrete event systemDecentralized prognosisInference prognosability
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