… 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 …

… ) is applied to polymerization 10 and polishing processes. … apply the Q-learning algorithm to
problems with continuous action … the nominal MPC is widely applied in the industrial field, we …

… have been proposed, and more autotuning methods have been introduced. This review …
matrix control, generalized predictive control, and state-space-model predictive control that …

… control techniques. In this study, a multiscale model for continuous Kraft pulping processes,
… by integrating a macroscopic model (ie, Purdue model) with a microscopic model (ie, kinetic …

… tracking through a nylon polymerization simulation. In LV-MPC, … process, it is usually used
in continuous processes, and it is a challenge to introduce this LV-MPC into the batch process. …

… as models of the dynamical processes used in Model Predictive … industrial processes
were considered: a polymerisation … reaction taking place in a jacketed continuous stirred-tank …

… control technologies to a same degree as continuous … existing advanced control methods
like model predictive control (… chemical processes, particularly for the polymerization process, …

… , as it is well established in industry and academia. In early … utilized APC concepts are model
predictive controllers (MPC) [… of polymer and salt buffers do not change during the process, …

… NN and stacked NN to model a batch polymerization reactor, based on which the optimal …
continuous industrial processes, batch production is regarded as a 2D dynamic process due to …

… The nonlinear continuous-time model is linearized and discretized in time by the use of the
… in chemical and biological processes, such as polymerization and isomerization, enzyme …