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Found 6 papers, 0 papers with code
Safe and Stable Formation Control with Distributed Multi-Agents Using Adaptive Control and Control Barrier Functions
This manuscript considers the problem of ensuring stability and safety during formation control with distributed multi-agent systems in the presence of parametric uncertainty in the dynamics and limited communication.
Enhancing power grid resilience to cyber-physical attacks using distributed retail electricity markets
We propose using a hierarchical retail market structure to alert and dispatch resources to mitigate cyber-physical attacks on a distribution grid.
Physics-Informed Graph Neural Network for Dynamic Reconfiguration of Power Systems
To maintain a reliable grid we need fast decision-making algorithms for complex problems like Dynamic Reconfiguration (DyR).
Local retail electricity markets for distribution grid services
We propose a hierarchical local electricity market (LEM) at the primary and secondary feeder levels in a distribution grid, to optimally coordinate and schedule distributed energy resources (DER) and provide valuable grid services like voltage control.
Online Policies for Real-Time Control Using MRAC-RL
In this paper, we propose the Model Reference Adaptive Control & Reinforcement Learning (MRAC-RL) approach to developing online policies for systems in which modeling errors occur in real-time.
MRAC-RL: A Framework for On-Line Policy Adaptation Under Parametric Model Uncertainty
Due to discrepancies between the simulated model and the true system dynamics, RL trained policies often fail to generalize and adapt appropriately when deployed in the real-world environment.
