A Multiagent Deep Reinforcement Learning-Enabled Dual-Branch Damping Controller for Multimode Oscillation.
Guozhou ZhangJunbo ZhaoWeihao HuDi CaoInnocent KamwaNan DuanZhe ChenPublished in: IEEE Trans. Control. Syst. Technol. (2023)
Keyphrases
- multi agent
- reinforcement learning
- control strategy
- optimal control
- open loop
- lyapunov function
- dynamic model
- closed loop
- adaptive control
- operating conditions
- function approximation
- multiagent learning
- control system
- multi agent systems
- multiagent systems
- actor critic
- control policy
- autonomous agents
- cooperative
- feedback control
- model free
- learning agents
- markov decision processes
- control law
- control method
- control strategies
- real time
- learning algorithm
- fractional order
- control algorithm
- control scheme
- fuzzy controller
- reinforcement learning algorithms
- temporal difference
- single agent
- mathematical model
- controller design
- state space
- neural network
- multiple agents
- learning process
- pid controller
- sufficient conditions
- optimal policy
- intelligent agents
- power system stabilizer
- dynamic programming
- power system
- markov decision process
- dynamic environments
- transmission line
- linear programming
- continuous state
- steady state
- primal dual
- machine learning
- fiber optic
- action selection