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In the integrated control structure selection process, robustness properties are screened using the robust performance number as a controllability index.
In addition, new efficient process robustness parameters were also proposed.
The proposed method provides process robustness according to confidence intervals for both mean and standard deviation.
Most of the existing studies focus on predicting variation propagation and evaluating process robustness.
This generic framework is then explored for handling process robustness and value of information features.
Experimental validation of the numerically predicted and improved process robustness is lacking.
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Their Review includes discussion of relevant network architectures, underlying biophysical processes, robustness to noise, and information capacity and coding strategies, and a nod to parallels with computer science.
For wide-sense stationary processes, robustness becomes a function of the power spectral densities.
New efficient process-robustness parameters are also proposed.
Finally, process assembly robustness of high aspect ratio top die (10 × 3 mm2) has been assessed with DC measurements.
Accountability is maintained through a formal design audit process, whereas robustness of decision analysis and system operation is autonomously handled by the system itself.
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