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CPS-Intelligence

Description

With ever-growing proliferation of the Internet of Things/Cyber-Physical Systems in all walks of life, their properties like adaptation ability, robustness, dependability and security are of utmost importance. The built-in intelligence in embedded (distributed) solutions will have to face these challenges to ensure problem-free, continuous operation of such systems, maximum security, effectiveness and real time operability. The course will propose mechanisms to assess and guarantee appropriate performance within an evolving, time (in)variant environment, optimal harvest and manage the residual energy, identify faults within a model-free framework as well as solve the compromise between output accuracy and computational complexity.

 

 

REFERENCES

  • C.Alippi, Intelligence for Embedded Systems: a Methodological approach, Springer, 2014
  • Technical papers and reference material provided by the professor

People

 

Alippi C.

Course director

Zambon D.

Assistant

Additional information

Semester
Spring
Academic year
2017-2018
ECTS
6
Education
Master of Science in Artificial Intelligence, Elective course, Lecture, 1st year

PhD programme of the Faculty of Informatics, PhD course, 1st, 2nd and 3rd year