Gaussian processes for online system identification and control of a quadrotor
The aim of this master thesis was to develop adaptive control for a quadrotor using Gaussian process regression (GP). Online regression with GPs can provide many benefits as it is a flexible non-linear regression model that can provide uncertainty measures of the estimate. However, online GP regression may also gives rise to problems. Because of the high numerical complexity of GPs, sparse approxi