Jack Caldwell

Towards Efficient Learning-Based Model Predictive Control via Feedback Linearization and Gaussian Process Regression

This paper presents a learning-based Model Predictive Control (MPC) methodology incorporating nonlinear predictions with robotics applications in mind. In particular, MPC is combined with feedback linearization for computational efficiency and Gaussian Process Regression (GPR) is used to model unkno…