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<item>
  <id>06019995</id>
  <dt>j</dt>
  <an>06019995</an>
  <augroup>
    <au>Perko, Klemen</au>
    <au>Kocik, R\'emy</au>
    <au>Hamouche, R\'edha</au>
    <au>Trost, Andrej</au>
  </augroup>
  <ti>A modelling-based methodology for evaluating the performance of a real-time embedded control system.</ti>
  <so>Simul. Model. Pract. Theory 19, No. 7, 1594-1612 (2011).</so>
  <py>2011</py>
  <pu>Elsevier Science, Amsterdam</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>modelling</ut>
    <ut>model transformations</ut>
    <ut>embedded control systems design</ut>
    <ut>real-time systems</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1016/j.simpat.2011.03.008</li>
  </ligroup>
  <abgroup>
    <ab>Summary: This paper presents a modelling-based methodology for embedded control system (ECS) design. Here, instead of developing a new methodology for ECS design, we propose to upgrade an existing one by bridging it with a methodology used in other areas of embedded systems design. We created a transformation bridge between the control-scheduling and the hardware/software (HW/SW) co-design tools. By defining this bridge, we allow for an automatic model transformation. As a result, we obtain more accurate timing-behaviour simulations, considering not only the real-time software, but also the hardware architecture's impact on the control performance. We show an example with different model-evaluation results compared to real implementation measurements, which clearly demonstrates the benefits of our approach.</ab>
    <rv></rv>
  </abgroup>
</item>