Odjel ima studentske ogranke na sveučilištima u Osijeku, Rijeci i Zagrebu.
Odjel za upravljačke sustave
Odjel ima studentske ogranke na sveučilištima u Osijeku, Rijeci i Zagrebu.
IEEE Hrvatska sekcija, Odjel za upravljačke sustave, ACROSS CoE - Centre of Excellence for Autonomous and Cooperative Robotic Systems i ZCI-DATACROSS Vas pozivaju na predavanje:
Data-driven algorithms for multi-agent optimization and games
koje će održati Filiberto Fele, Department of Engineering Science, University of Oxford, United Kingdom.
Predavanje će se održati u utorak, 20. rujna 2022. s početkom u 09:45 sati u Sivoj vjećnici na Fakultetu elektrotehnike i računarstva. Više informacija o predavaču i predavanju možete naći u nastavku obavijesti.
Abstract: The advances in information and communication technology have led to the development of smart infrastructures, whose size and complexity constitute a major challenge in control engineering. Smart infrastructures notably comprise a variety of service providers and interconnected users that interact and share resources. Such a network of "ecosystems", each with high levels of autonomy, pose questions on how to better coordinate their actions, while ensuring a provably safe, efficient and uninterrupted operation? In this talk, we will show how the frameworks of multi-agent optimization, game theory, and statistical learning can be leveraged in synergy for the modelling and synthesis of solutions.
Bio: Dr. Filiberto Fele is Research Associate with the Energy and Power Group and the Control Group, Dept. of Engineering Science, University of Oxford. He has been involved in two ambitious projects set in the context of energy systems transition to zero carbon, namely V2GO (vehicle-to-grid Oxford) and LEO (Local Energy Oxfordshire). His experience with these projects highlighted the complexity and uncertainty of the supply-demand interplay at the grid edge. As these drive the adoption of technical solutions based on data-driven techniques, it is critical to ensure that datasets used for decision making form exhaustive descriptions of the observed system. Hence, his current work is dedicated to accompanying data-based methods with rigorous certificates regarding their performance in presence of unobserved behaviors, to ensure the robustness, stability and safety of the grid.