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Found 7 papers, 0 papers with code
Stability Certificates for Receding Horizon Games
Game-theoretic MPC (or Receding Horizon Games) is an emerging control methodology for multi-agent systems that generates control actions by solving a dynamic game with coupling constraints in a receding-horizon fashion.
Towards a Systems Theory of Algorithms
Traditionally, numerical algorithms are seen as isolated pieces of code confined to an {\em in silico} existence.
Designing Optimal Personalized Incentive for Traffic Routing using BIG Hype algorithm
We study the problem of optimally routing plug-in electric and conventional fuel vehicles on a city level.
Designing Fairness in Autonomous Peer-to-peer Energy Trading
Several autonomous energy management and peer-to-peer trading mechanisms for future energy markets have been recently proposed based on optimization and game theory.
Stability and Robustness of Distributed Suboptimal Model Predictive Control
In distributed model predictive control (MPC), the control input at each sampling time is computed by solving a large-scale optimal control problem (OCP) over a finite horizon using distributed algorithms.
Receding Horizon Games with Coupling Constraints for Demand-Side Management
Distributed energy storage and flexible loads are essential tools for ensuring stable and robust operation of the power grid in spite of the challenges arising from the integration of volatile renewable energy generation and increasing peak loads due to widespread electrification.
Operationally-Safe Peer-to-Peer Energy Trading in Distribution Grids: A Game-Theoretic Market-Clearing Mechanism
In future distribution grids, prosumers (i. e., energy consumers with storage and/or production capabilities) will trade energy with each other and with the main grid.
