… strategies widely used in industry. In particular, linear Model Predictive Control (MPC) has
shown to be extremely … Most styrene polymers are produced through batch or continuous …

… This paper demonstrates the application of model-predictive control to a feeding blending
unit used in continuous pharmaceutical manufacturing. The goal of this contribution is, on the …

… by simulating an industrial batch polystyrene polymerization reaction process. The results
… polystyrene polymerization reaction process is regarded as a special continuous process …

… , unlike in continuous processes, in which model-based tools such as Model Predictive Control
(… The reaction that takes place in this case study is the radical polymerization of a water-…

… model-based control algorithms for continuous manufacturing is also a key research focus in
academia and industry [24], and the model predictive control (… in industrial applications [25,…

… application of model predictive control in polymerization has … We call the process of identifying
slices of good continuous MV… controller execution which we have applied in real industrial …

… via simulations of a semi-batch industrial polymerization reactor. Index Terms—Robust
control, Nonlinear model predictive control, learning-based control, reinforcement learning …

… Continuous processes are typically employed in a wide range of high-volume industries,
such as the petroleum industry… polymer melt is injected to offset the shrinkage induced by …

… is an increased acceptance in industry for the application of nonlinear model predictive …
observer is proposed to be jointly used with a continuous-time SNMPC formulation and lastly [19] …

… model predictive control (LMPC) is the most frequently used advanced process controller
in industry … We applied our proposed methods to a polymerization case study. We …