Model Predictive Control - The main ingredients

Type of course:

Digital learning, Lesson

Language:

Duration:

30 minutes

Workload:

2 hours

Proficiency:

Advanced

Target:

Professionals, Students

This nugget presents the main components of the Model Predictive Control Scheme and how an Optimal Control Problem for a differential-drive robot can be formulated.

Learning outcomes

The learner can name the core components and contextualise their meaning in the Model Predictive Control (MPC) concept.
The learner can formulate the basic components for stating an Optimal Control Problem.
The learner can formulate and name examples for constraints to be ensured by the MPC scheme.