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Iterative learning control has been developed for processes or systems that complete the same finite duration task over and over again.
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Second, the SMRAC indicators were developed for efficient implementation.
Three assessment tools were developed and used for the process evaluation.
In a two stage process a preliminary list was developed meeting the following criteria: 1.
Finally, sections were developed as described above.
The developed model may be helpful for process engineers to predict the plant behaviors under various configurations or operating strategies.
The collaborative processes will be further developed for completing the little skate genome sequencing and annotation project.
Comparison of modeling results with existing experimental measurements shows that the developed model simulates realistically the process and can be used for process design and optimization.
The developed model provides physical understanding of binder removal mechanisms that are essential for process optimization.
The developed kinetic and chemorheological model of the experimental results could be used for process optimization.
The developed flowsheet model for the continuous dry granulation process can be directly used for process optimization, risk assessment and control strategy determination.
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