Video and Webinar Series

Learning-Based Control

Learn about a model-free adaptive control method called extremum seeking control. You’ll see how to build the algorithm one component at a time in Simulink® to motivate the design and to highlight some of the overall benefits and drawbacks of this method.

You’ll also explore constraint enforcement, which is important for learning-based systems that are deployed in safety-critical applications. Constraint enforcement ensures that any action requested by the controller does not result in the system exceeding a safety bound.

What is Extremum Seeking Control Get an introduction to an adaptive control method called extremum seeking control. You’ll see how to build the algorithm one component at a time in Simulink to highlight the benefits and drawbacks of this method.

Constraint Enforcement for Improved Safety Learn about enforcing systems constraints, which are essential for learning-based systems in safety-critical applications. These constraints ensure that any control actions you not result in the system exceeding a safety bound.