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This contribution presents the application of self-tuning digital PID controllers for process control modelled by δ - models.
Thus, a software controller that uses the methane concentration as variable was designed for process control and tested in different reactor types (CSTR, Fluidized bed).
The important objectives for process control are listed.
A followon model, the IBM 1800, was intended mainly for process control.
In this paper we have developed sliding observers for process control.
These results are promising concerning the use of plasma parameters for process control of CVD processes.
Some challenges arising from the use of image analysis techniques for process control are also discussed.
In flowing foam systems, rapid measurement is required for process control.
The study shows the importance of the temperature for process control.
This gap between theoretical and realized performance has the potential for process control.
In addition, the model can also be used for process control.
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