Multi-Agent Reinforcement Learning for Decentralized Resilient Secondary Control of Energy Storage Systems Against DoS Attacks.
Pengcheng ChenShichao LiuBo ChenLi YuPublished in: IEEE Trans. Smart Grid (2022)
Keyphrases
- multi agent reinforcement learning
- storage systems
- dos attacks
- distributed control
- multi agent
- network security
- denial of service
- file system
- control system
- lightweight
- distributed systems
- learning agents
- energy consumption
- high performance computing
- denial of service attacks
- databases
- energy efficiency
- storage devices
- cooperative
- database management systems
- mobile agents
- multi agent systems