Model based control of dynamic adaptive production

Type of course:

Digital learning, Lesson

Language:

Duration:

14 minutes

Workload:

2 hours

Proficiency:

Advanced

Target:

Professionals, Students

In this nugget we investigate an approach to controlling cyber-physical systems, e.g. systems that are realised in the physical world and have a direct connection with their digital model, also called the digital twin, and can be controlled by the system via a set of actuators.

Learning outcomes

Represent the environment in a context-aware manner through a set of sensors and actuators
Define environmental rules in predicate or first-order logic in declarative manner
Use dynamic constraint satisfaction problem to ensure adherence of the system to previously defined rules