Synthesis of model predictive control based on data-driven learning

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Dear editor,rnModel predictive control (MPC) is a practically effective and attractive approach in the field of industrial processes [1] owing to its excellent ability to handle constraints, nonlinearity, and performance/cost trade-offs.The core of all model-based predictive algorithms is to use “open-loop optimal control” instead of “closed-loop optimal control” within a moving horizon [2].It is assumed in this study that the readers are familiar with MPC as a control design methodology.
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