Tracking performance of model predictive control

This note proposes a model predictive control scheme for tracking a random reference and analyses its performance. In such situations it is usual to assume that the reference eventually converges to a constant in which case convergence to zero of the tracking error can be established. In this note we remove this simplifying assumption and characterise the set to which the tracking error converges and the associated region of convergence.