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  • 标题:Top-Down Nested Supervisory Control of State-Tree Structures Based on State Aggregations ⁎
  • 本地全文:下载
  • 作者:Xi Wang ; Thomas Moor ; Zhiwu Li
  • 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:11175-11180
  • DOI:10.1016/j.ifacol.2020.12.300
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractWith a structured state space, state-tree structures (STS) are a powerful framework to model hierarchical finite state machines (HFSM). The boundary consistency property of STS endows them a compact and neatly representation. In this study, by naturally decomposing an STS into a set of STS nests in a top-down nested approach and finding a supervisor for each, the boundary consistency property is extended to the supervisory control of STS. As a consequence, the state spaces for both the system model and optimal supervisor are significantly reduced. Two examples are provided, in which the state space of a large scale HFSM example is reduced from 1024to 2×1018.
  • 关键词:KeywordsDiscrete-event systemnonblocking supervisory controlstate-tree structuresymbolic computationnested state feedback control
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