Virtual Parameter Learning-Based Adaptive Control for Protective Automatic Train Operation.
Zhiming YuanLu YanYing GaoTao ZhangShigen GaoPublished in: IEEE Trans. Intell. Transp. Syst. (2021)
Keyphrases
- adaptive control
- parameter learning
- bayesian networks
- control method
- conditional random fields
- structure learning
- maximum likelihood
- statistical learning
- generative model
- reinforcement learning
- control law
- em algorithm
- dynamic environments
- hidden variables
- real time
- expectation maximization
- parameter estimation
- mathematical model
- approximate inference
- pairwise
- graphical models
- collaborative filtering