Cautious Model Predictive Control Using Gaussian Process Regression
Cautious Model Predictive Control Using Gaussian Process Regression
Gaussian process (GP) regression has been widely used in supervised machine learning due to its flexibility and inherent ability to describe uncertainty in function estimation. In the context of control, it is seeing increasing use for modeling of nonlinear dynamical systems from data, as it allows the direct assessment of …