摘要：AbstractIn 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.
关键词：KeywordsReactor controlregularized FIR modellocal model state space network (LMSSN)model predictive control (MPC)nonlinear dynamic modelsystem identification
