Data-Driven Analytic Differentiation via High Gain Observers and Gaussian Process Priors.
Biagio TrimarchiLorenzo GentiliniFabrizio SchianoLorenzo MarconiPublished in: ACC (2023)
Keyphrases
- gaussian process
- data driven
- bayesian framework
- gaussian processes
- gaussian process regression
- approximate inference
- dynamical models
- hyperparameters
- gaussian process classification
- regression model
- dynamical model
- model selection
- expectation propagation
- semi supervised
- latent variables
- prior information
- sparse approximations
- prior knowledge
- maximum a posteriori
- covariance function
- generative model
- marginal likelihood
- dirichlet process
- probability distribution
- higher order
- gaussian process models
- data sets