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In our previous studies, the stability margin condition is represented by the maximum sensitivity condition.
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In the simulation study, the controllers were tuned to have the same degree of robustness by measuring the maximum sensitivity, Ms, in order to obtain a reasonable comparison.
Simple tuning rules are generated by considering specific values for the maximum sensitivity value.
The optimum illumination direction is usually determined by a trade-off between the maximum sensitivity and minimum shadows in the reconstructed image.
The Emax value was set at 22 since we assumed that the maximum sensitivity increases by 1.5-fold from the initial sensitivity value.
By applying fuzzy logic, each unit was assigned a value between 0 and 1, where 0 means not sensitive and 1 means the maximum sensitivity to wind erosion.
Consequently, we concluded that ~79% would be the maximum sensitivity for SFP detection by whole-genome hybridization.
A log relative sensitivity curve was constructed by normalizing the log absolute sensitivity values to the maximum sensitivity.
The rules are obtained by minimizing a frequency objective function subject to a constraint on the maximum sensitivity.
The maximum sensitivity for the detection of CK-20 mRNA by NASBA was comparable to that for its detection by RT PCR (Table 4-wrap>).
The maximum sensitivity of the sensor was found 2.5.
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