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  • 标题:Refinement of Workload Models for Engine Controllers by State Space Partitioning
  • 本地全文:下载
  • 作者:Morteza Mohaqeqi ; Jakaria Abdullah ; Pontus Ekberg
  • 期刊名称:LIPIcs : Leibniz International Proceedings in Informatics
  • 电子版ISSN:1868-8969
  • 出版年度:2017
  • 卷号:76
  • 页码:11:1-11:22
  • DOI:10.4230/LIPIcs.ECRTS.2017.11
  • 出版社:Schloss Dagstuhl -- Leibniz-Zentrum fuer Informatik
  • 摘要:We study an engine control application where the behavior of engine controllers depends on the engine's rotational speed. For efficient and precise timing analysis, we use the Digraph Real-Time (DRT) task model to specify the workload of control tasks where we employ optimal control theory to faithfully calculate the respective minimum inter-release times. We show how DRT models can be refined by finer grained partitioning of the state space of the engine up to a model which enables an exact timing analysis. Compared to previously proposed methods which are either unsafe or pessimistic, our work provides both abstract and tight characterizations of the corresponding workload.
  • 关键词:Engine Control Tasks; Schedulability Analysis; Minimum-Time Problem; DRT Task Model
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