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Found 8 papers, 0 papers with code
Integrated Charging Scheduling and Operational Control for an Electric Bus Network
We propose a hierarchical control framework to solve this problem, where the charging and operational decisions are taken jointly by solving a mixed-integer linear program in the high-level control layer.
Conflict-free Charging and Real-time Control for an Electric Bus Network
The rapid adoption of electric buses by transit agencies around the world is leading to new challenges in the planning and operation of bus networks.
Optimal Management of the Peak Power Penalty for Smart Grids Using MPC-based Reinforcement Learning
The cost of the power distribution infrastructures is driven by the peak power encountered in the system.
A New Dissipativity Condition for Asymptotic Stability of Discounted Economic MPC
Economic Model Predictive Control has recently gained popularity due to its ability to directly optimize a given performance criterion, while enforcing constraint satisfaction for nonlinear systems.
Economic MPC of Markov Decision Processes: Dissipativity in Undiscounted Infinite-Horizon Optimal Control
Economic Model Predictive Control (MPC) dissipativity theory is central to discussing the stability of policies resulting from minimizing economic stage costs.
Reinforcement Learning based on Scenario-tree MPC for ASVs
A scenario-tree robust MPC is used to handle potential failures of the ship thrusters.
Stability-Constrained Markov Decision Processes Using MPC
This observation will entail that the MPC-based policy with stability requirements will produce the optimal policy for the discounted MDP if it is stable, and the best stabilizing policy otherwise.
Learning for MPC with Stability & Safety Guarantees
The combination of learning methods with Model Predictive Control (MPC) has attracted a significant amount of attention in the recent literature.
