Research on ATO Control Method for Urban Rail Based on Deep Reinforcement Learning.
Xiaoqiang ChenXiao GuoJianjun MengRuxun XuShanshan LiDecang LiPublished in: IEEE Access (2023)
Keyphrases
- control method
- reinforcement learning
- adaptive control
- control algorithm
- control strategy
- control system
- grey prediction
- pid controller
- fuzzy control
- function approximation
- elevator group control
- state space
- dc dc converter
- fuzzy pid control
- matlab simulink
- fuzzy controller
- multi agent
- control scheme
- feedback control
- pid control
- lyapunov function
- fuzzy pid
- control strategies
- manufacturing systems
- single phase
- networked control systems
- variable structure
- mathematical model
- learning algorithm
- neural network