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Experimental design was used for validation of robustness and intermediate precision.
There are mainly two contributions of this paper: design of observer and controller gains as a function of aerodynamic coefficient and airspeed of MAV and validation of robustness of control algorithm for parametric uncertainties, measurement noise and wind disturbance.
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The undeniable validation of the robustness of such models calls for reliable quantification techniques which simultaneously describe dissolved and gaseous N2O dynamics.
Further, validation of the robustness and accuracy of the integration algorithm is performed by using this new model and Hill [17] to simulate a circular cup drawing test of a steel plate.
These efforts, however, need continuous validation of reliability, robustness and reproducibility of the technology being employed.
The paper will give an introduction to the basic ideas of Robustness Validation.
The emphasis is on prediction accuracy, with brief consideration of robustness, validation and computing burden.
Adequate validation, with an assessment of robustness (sensitivity analysis) and predictive performance of the model is a prerequisite for regulatory acceptance.
The validation and robustness of the algorithm are verified by direct comparisons of the obtained numerical solutions with relevant experimental results.
Most libraries were well within the expected range (examples are shown in Figure 1D), which provides further validation of the accuracy and robustness of our workflow.
This overlap unequivocally links these mRNAs and proteins, and furthermore confirms by cross-validation the robustness of the annotation results of both, the transcriptome and the proteome, and the annotation strategies used.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com