Giuseppe Belgioioso

NCCR – People
Giuseppe Belgioioso

Scientific Publications

to Appear
Receding Horizon Games with Coupling Constraints for Demand-Side Management
61st IEEE Conference on Decision and Control (CDC 2022)
Sampled-Data Online Feedback Equilibrium Seeking: Stability and Tracking
60th IEEE Conference on Decision and Control (CDC21)

Research projects as Researcher

Title
Principal Investigators

Online Feedback Optimization with Self-Interested Agents for Energy Management Applications

Summary

Online feedback optimization refers to the design of feedback controllers that asymptotically steer a physical system to the solution of an optimization problem while respecting physical and operational constraints. Here we are interested in exploring self-interested agents that do not want to cooperate for the sake of achieving a common goal but first and foremost have their own interest in mind. A relevant real-world example is selfish and uncoordinated congestion control by different power transmission system operators. We will investigate distributed Nash-seeking algorithms to solve the resulting antagonistic decision-making problems, and also deploy them in numerical and real-world case studies.

Online Feedback Optimization with Self-Interested Agents for Energy Management Applications

Online feedback optimization refers to the design of feedback controllers that asymptotically steer a physical system to the solution of an optimization problem while respecting physical and operational constraints. Here we are interested in exploring self-interested agents that do not want to cooperate for the sake of achieving a common goal but first and foremost have their own interest in mind. A relevant real-world example is selfish and uncoordinated congestion control by different power transmission system operators. We will investigate distributed Nash-seeking algorithms to solve the resulting antagonistic decision-making problems, and also deploy them in numerical and real-world case studies.

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