Deep reinforcement learning for permanent magnet synchronous motor speed control systems.
Zhe SongJun YangXuesong MeiTao TaoMuxun XuPublished in: Neural Comput. Appl. (2021)
Keyphrases
- permanent magnet synchronous
- reinforcement learning
- control system
- function approximation
- optimal policy
- robot control
- markov decision processes
- data sets
- model free
- closed loop
- learning problems
- least squares
- neural network
- state space
- dynamic programming
- expert systems
- multi agent
- learning algorithm
- machine learning
- control strategies
- real time