Abstract
The article discusses the application of model-based predictive control (MPC) using a multi-input, multi-output (MIMO) model to control a distillation process. It is shown that the MPC approach effectively accounts for the multi-connectivity of the distillation column's process variables, constraints on control actions, and disturbances, ensuring improved control quality and process energy efficiency.
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