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The results of real-time implementation prove that the proposed PSS offers a superior performance in comparison with the conventional stabilizer.
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Our implementation proves that an automation platform to manage simulations and automatically store the full provenance of computed datasets allows metadata to be added at a later time, in a completely automated fashion.
However, their mere implementation proves that it is an acceptable framework of doing business that cannot be ignored.
The results demonstrate how well the drainage criteria were chosen and prove that the implementation was exceptionally successful.
The experiments prove that the implementation of multi-agent technology in Intelligent Manufacturing System makes the operations much more flexible, economical and energy-efficient.
It also examined whether implementation proved the results of the simulation to be correct.
Altogether the survey showed that in 9 papers the implementation proved the model to be correct, 5 other models were partially correct.
For our performance evaluation, we will first compare our radio design with off-the-shelf implementations to prove that similar performance can be obtained and that the radio can form a network with those implementations.
In addition, it was proved that the implementation of MPCA with dynamic neural network could enhance the model performance.
The results of the IRFR from pre- to immediately post-training proved that the implementation of the training significantly increased safe behavior in work practices.
It is proved that the implementation of this controller into each subsystem leads to the quadratic stability of the overall closed-loop system.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com