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Refinement of Workload Models for Engine Controllers by State Space Partitioning

Authors Morteza Mohaqeqi, Jakaria Abdullah, Pontus Ekberg, Wang Yi

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Morteza Mohaqeqi
Jakaria Abdullah
Pontus Ekberg
Wang Yi

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Morteza Mohaqeqi, Jakaria Abdullah, Pontus Ekberg, and Wang Yi. Refinement of Workload Models for Engine Controllers by State Space Partitioning. In 29th Euromicro Conference on Real-Time Systems (ECRTS 2017). Leibniz International Proceedings in Informatics (LIPIcs), Volume 76, pp. 11:1-11:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2017) https://doi.org/10.4230/LIPIcs.ECRTS.2017.11

Abstract

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.

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Keywords
  • Engine Control Tasks
  • Schedulability Analysis
  • Minimum-Time Problem
  • DRT Task Model

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References

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