Abstract
In a polymer production process, a special reactor is used to adjust the viscosity, i.e., chain length of the polymer. This reactor has several control variables mainly in manually control. For future automatic control concepts, such a reactor is modeled from data with a linear (regularized FIR) and a nonlinear state space model (LMSSN). A model predictive control approach is presented in simulation.
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