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This section is focused on the experiments for system evaluation.
Tailored experiments for system identification and controller evaluation (e.g., reference tracking, disturbance rejection, energy performance) were carried out using a purpose-built refrigeration facility.
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Furthermore, a robust software quality model, the base model, is generated by the system, which is used in the experiments for QATCH system verification.
In this section, we first conduct some experiments for HAR system configuration tuning in order to analyze how the evaluation, the sensor type, or the feature type influences the system performance.
Such an effect is related to the increase in relative volatility, which is verified by vapor liquid phase experiments for the system (formaldehyde 1,3,5-trioxane organic salt–water).
This investigation is based on 12 series of σ(T) measurements reported in the literature and on additional experiments for the system cyclohexane/polystyrene.
Many different orientations of the elevation and direction of the evaporator were also considered during all of the experiments for this system.
The issue of experiment input spectrum design is studied in the framework of optimal experiment design for system identification.
In this paper we briefly review the evolution of the main tools and results for optimal experiment design for system identification.
Optimal experiment design for system identification involves determining an optimal input that is used to perturb the system so that the resulting input-output data is maximally informative.
The expression for open- and closed-cycle systems was validated by performing experiments for both systems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com