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model predictive control

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**model predictive control**

What is model predictive control?

Model Predictive Control (MPC) is an advanced method of process control that relies on a dynamic model of the process, most often obtained empirically, to predict and optimize process behavior. It is commonly used in industries like chemical processing, oil refining, power generation, and automotive to control complex systems with multiple inputs and outputs, constraints, and disturbances. MPC uses the model to predict future process outputs, and then calculates the optimal control actions required to achieve desired setpoints while respecting constraints.

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