Stochastic Control Barrier Functions with Bayesian Inference for Unknown Stochastic Differential Equations.
Chuanzheng WangYiming MengJun LiuStephen L. SmithPublished in: CoRR (2023)
Keyphrases
- bayesian inference
- brownian motion
- prior information
- probabilistic model
- hyperparameters
- diffusion process
- differential equations
- stochastic process
- optimal control
- poisson process
- stochastic processes
- queue length
- machine learning
- closed form solutions
- heavy traffic
- vector valued
- prior distribution
- image segmentation