Data-Driven State Awareness for Fly-by-Feel Aerial Vehicles via Adaptive Time Series and Gaussian Process Regression Models.
Shabbir AhmedAhmad AmerCarlos A. VarelaFotis KopsaftopoulosPublished in: DDDAS (2020)
Keyphrases
- regression model
- gaussian process
- data driven
- gaussian processes
- model selection
- approximate inference
- aerial vehicles
- conditional distribution
- latent variables
- search space
- hyperparameters
- non stationary
- incremental learning
- bayesian framework
- dimensionality reduction
- state space
- probability distribution
- machine learning