Tutorial by Manuela L. Bujorianu and Brian White  

Multi-dimensional co-engineering of autonomous systems

 
  Monday September 13th      Time: 14.30 - 18.30
Room: 28
 

The variety of autonomous systems is increasing both in industry and academia.

Such systems must operate with limited human intervention in a changing environment and they must be able to compensate for significant system failure without external intervention.

In highly autonomous systems, the system behavior is normally so complex that it is either impossible or inappropriate to describe it with conventional mathematical system models.

The complexity of the system model needed in design depends on both the complexity of the physical system and on how demanding the design specifications are.

The most appropriate models of autonomous systems can be find in the class are hybrid systems (which study continuous-state dynamic processes via discrete-state controllers) that interact with their environment.




   

 
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