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In this work a method is presented for integrating advanced model based controllers in a simultaneous process and control design framework.
The integrated process and control system simulation is used to design controllers that improve the profitability of processes without extensive real-time calculations; this is sometimes termed self-optimizing control.
Measurement uncertainty may be a decisive factor on the structure of process and control flow sheet design: e.g. whether a controller can achieve required level of disturbance attenuation or whether costly process equipment needs to be included.
In the second part of this chapter we present an extension of the process and control design framework that incorporates advanced model-based predictive controllers.
These errors produce intermittent disruptions in production process and control.
This requires transparency to the process and control of what data is being collected and how it is being used.
It is helpful to understand PS-PVD process and control coating properties in actual industry.
Process and the associated process and control variables that are involved in safety control systems.
Integrated control and process design (ICPD) practices focus on an interaction between process and control design.
The architecture, configuration process, and control of applications through scripting are presented.
Implementation process and control strategy of the algorithms were also described.
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transformation and control
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