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We examined several robustness criteria as a possible quantification of performance deviations under uncertain recipe variables.
After training the Artificial Neural Network monitor the asymmetric half bridge converter in order to detect the performance deviations.
Since performance deviations continually occur in complex systems, their detection and correction must be accomplished over and over again.
It is shown that non-trivial alignments with respect to the wind direction arise and important performance deviations occur among the most frequent configurations.
A large data banks which reported in open literature have been used in order to specify performance, deviations and precision of the developed fuzzy logic approaches.
In a nutshell, comparing the findings from the results presented in Figures 6 and 7, we conclude that there are significant performance deviations once we switch to realistic inter-cell interference modeling, with a tendency to overestimation when replacing realistic interference with simplified AWGN interference of the same power.
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Several spacecraft components, especially sensors, are prone to performance deviation due to intrinsic physical effects.
Consequently, the internal correlation between the non-uniform inflow and performance deviation is revealed.
The evaluation of the severity of loop coupling and performance deviation from independent design are discussed.
In this study, numerical investigation is conducted to illustrate the performance deviation and explain its generating mechanism.
Multiple low-energy building configurations can lead to similar optimal performance under deterministic conditions, but can have different magnitudes of performance deviation under these uncertainties.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com