Data-Driven Probabilistic Model of Magneto-Rheological Damper for Intelligent Vehicles using Gaussian Processes.
Jincheng WangKun XuCuiping ShaoLei PengYunduan CuiPublished in: ITSC (2022)
Keyphrases
- gaussian processes
- mr damper
- data driven
- intelligent vehicles
- probabilistic model
- highly nonlinear
- active control
- pid controller
- gaussian process
- fuzzy logic controller
- latent variables
- traffic signs
- vehicle detection
- computer controlled
- gaussian process regression
- generative model
- bayesian inference
- hyperparameters
- covariance function
- real time
- bayesian networks
- expectation maximization
- model selection
- prior knowledge