Closed-loop stochastic model predictive control in a receding horizon implementation on a continuous polymerization reactor example

Abstract

We evaluate closed-loop stochastic model predictive control techniques on a nonlinear high density polyethylene fluidized bed example. Closed-loop MPC is a control strategy in which one optimizes feedforward signals while maintaining back-off to inequality constraints on the process variables. This back-off is kept minimal by using so-called closed-loop… (More)

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