Explore relationships by experimenting with changing set points for
input and output variables. Evaluate the performance of model predictive
control in the face of a strongly interacting multi-input multi output (MIMO)
See how the optimizer computes the best steady
state operating point for the plant, subject to constraints and economic tuning.
Show how trade-offs affect a process, and how to determine what to maximize and
where to minimize.
Show that model predictive control is
suitable for processes with difficult dynamics, tightly constrained systems, and
strongly interacting multi-variable systems.
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