On the piecewise linear nature of min-max model predictive control with bounded uncertainties

This paper shows how a min-max model predictive control with bounded additives uncertainties and a quadratic cost function results in a piecewise linear control law. Proofs based on properties of the cost function and the optimization problem are given. The results are illustrated by a simulation example.