MPC extensions to feedback linearizable systems

We present and compare various extensions of model predictive control (MPC) to the class of both full state and input/output feedback linearizable systems. The approaches presented are valid even for systems with unstable zero dynamics, with the goal being a reduction of the burdensome computational costs typically associated with nonlinear MPC. Finally, these various approaches are tested on examples.