Process engineering spans industrial applications in the
manufacturing sector from petrochemical to polymer to mineral
production. From Plant Data to Process Control covers the most
up-to-date techniques and algorithms in the area of process
identification (PID) and process control, two key components of
process engineering, essential for optimizing production systems.
It examines both the theoretical advances in process design and
control theory, and a wide variety of implementations. A wide
variety of approaches are presented for building models of
dynamical systems based on observed data (process identification)
and for making the output of a system behave in a desired fashion
by properly selecting the process input (process control).
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