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Intelligent Monitoring and Control Systems

 

 122

 

Course Summary

This course aims to provide an overview on the intelligent monitoring and control methodologies for systems. Among the topics that will be covered are systems theory, control design, estimation, and approximation-based control. The main objective of the course is to familiarize students with the fundamental tools for designing monitoring and control algorithms. The application of such intelligent algorithms in energy-demanding or resource-demanding systems such as renewable energy systems, industrial processes, built environment, transportation, etc. can provide a roadmap towards the de-carbonization and sustainability of the aforementioned sectors.

Learning Outcomes

Upon completion of the course, course participants should:

  • Be able to mathematically model dynamical systems
  • Be able to model and design state-space domain
  • Be able to design control systems
  • Be able to evaluate stability, controllability and observability of dynamical systems
  • Be able to design monitoring schemes for estimation
  • Understand approximation theory and approximation techniques (such as Neural Networks and Radial Basis Functions)
  • Be able to design adaptive parameter estimation and adaptive approximation models
For more information on the course, please see the Course Handbook.

 

Course Instructors

Panayiotis Papadopoulos

Panayiotis Papadopoulos

Email: This email address is being protected from spambots. You need JavaScript enabled to view it.

Tel: +357 22 208 700

 

 

 

Course Timetable

Lecture  Date Time Venue
1st Wednesday, 22/11/2023 10:00 - 14:00 Online
2nd Friday, 24/11/2023 10:00 - 14:00 Online
3rd Wednesday, 13/12/2023 10:00 - 14:00 Online
4th Friday, 15/12/2023 10:00 - 14:00 Online

 

Registration

Please fill in the Registration Form by Monday 20/11/2023.

 


 

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