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An approach for the design of control systems for processes having time delays and an infinite number of right-half plane zeros is presented.
The increasing complexity of large-scale industrial processes and the struggle for cost reduction and higher profitability means automated systems for processes diagnosis in plant operation and maintenance are required.
This paper describes a tool to aid in the analysis and design of fault detection systems for processes which present bounded structured uncertainty (only bounds for the values of their physical parameters are known).
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In consequence systems for process control must include facilities for calibration and for in situ cleaning.
This reaction has been one of the most well-studied systems for process intensification using reactive distillation.
Process analysis of microbial gold synthesis, provides a foundation for the design of smart reactor systems for process intensification.
Control systems for process plants are complex applications running in several interacting computers with varying degrees of integration.
These results can be used to design decentralized inventory and flow control systems for process networks of arbitrary complexity.
In designing safeguarding systems for process plants, facilities should be provided for handling, directing, and ultimately disposing of voluntary and involuntary gases and liquids.
According to Meyers and Stewart (2002), time standards help to assess and measure the productivity; this is a key element that implies to manage information systems for process planning and improvement.
Many systems for process monitoring using in-process sensor measuring rely on human interpretation and reaction in order to control the process and achieve the desired effect from the monitoring.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com