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  • 标题:On-Line Synthesis of Permissive Supervisors for Partially Observed Discrete Event Systems under scLTL Constraints ⁎
  • 本地全文:下载
  • 作者:Ami Sakakibara ; Toshimitsu Ushio
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2020
  • 卷号:53
  • 期号:2
  • 页码:2130-2136
  • DOI:10.1016/j.ifacol.2020.12.2535
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractWe consider a supervisory control problem of a discrete event system (DES) under partial observation, where a control specification is given by a fragment of linear temporal logic We design an on-line supervisor that dynamically computes its control action with the complete information of the product automaton of the DES and an acceptor for the specification. The concepts of controllability and observability are defined by means of a ranking function defined on the product automaton, which decreases its value if an accepting state of the produc automaton is being approached. The proposed on-line control scheme leverages the ranking function and a permissiveness function, which represents a time-varying permissiveness level As a result, the on-line supervisor achieves the specification, being aware of the tradeoff between its permissiveness and acceptance of the specification, if the product automaton is controllable and observable.
  • 关键词:KeywordsOn-line supervisory controldiscrete event systemspartial observationlinear temporal logicranking functionautomata
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