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Lecture 6 - Basic Model Predictive Control by EMA LEMA is a document available to read on EtoBox.

What is Lecture 6 - Basic Model Predictive Control about?

Model Predictive Control (MPC) is an optimal control strategy that manages multivariable systems with constraints by predicting future inputs and outputs over a finite horizon to minimize a cost function. It has advantages such as intuitive tuning and the ability to handle disturbances, but requires a model of the system and can be computationally complex. The process involves measuring the current state, computing optimal control inputs, and implementing them in a receding-horizon manner.

Author

EMA LEMA

Language

EN