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Assessment on Model Predictive Control

By BIBA

Type of course:

Digital learning, Lesson

Language:

EN

Duration:

30 minutes

Workload:

2 hours

Proficiency:

Advanced

Target:

Manager, Professionals, Students

This is the assessment nugget for the Learning Path Autonomous mobile robotics – Model Predictive Control.

The learner is able to describe the basic concept of Model Predictive Control.

Furthermore, the learner is able to apply the ROS2 package of the MPC algorithm in a ROS2 environment.


Learning outcomes

  1. The learner can differentiate the Model Predictive Control methods to other classical control concepts.
  2. The learner can formulate an Optimization Control Problem to be used by the MPC.
  3. The learner can apply the given MPC software package and integrate this in the Navigation stack of ROS2.

Course Content

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Topics

Automation and Robotics, Digital Transformation, Automated Guided Vehicle (AGV), Robots, Robot Operating System (ROS), Navigation Systems

Provided by

Content created in 2022
+223 enrolled
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Course Includes

  • 1 Quiz

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