The hands-on research component is designed to fit the following technical niches

Scholar Component:

  • Functional Analysis (July and August)
  • Optimal Control (July and August)
  • Machine Learning (July and August)
  • Model Predictive Control (September)
  • Non-linear Control (September)


Research Initiation for undergrad students. 

This consists on a set of personalized projects requiring basic knowledge that will be articulated in the following contexts:

  1. Control of drones, notably, UAVs (Unmanned Aerial Vehicles) of the copter type for surveillance, monitoring, support communications, and transportation of small packages.
  2. Optimization for the sustainable management of natural resources.
  3. Management and control of novel advanced systems for harvesting renewable energies
  4. Modelling and control of epidemic and pandemic phenomena
  5. Applications of Networked Systems – Control and Estimation – for Situational Awareness
  6. Management and control of Renewable Energy Systems integrated in the Electrical Grid
  7. Sustainable Mobility Systems
  8. Advanced Production Systems


Research for graduated students. 

This consists in more elaborate and in-depth projects that will be proposed by the research students as far as they fall in the scientific areas of the Summer School.

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