In this paper, we present a method for synthesis of a model predictive control (MPC) law that considers disturbances and plant uncertainties. We show that the proposed method guarantees feasibility for all future time as well as stability of the closed-loop system. The method is reduced to an on-line optimization problem based on linear matrix inequality (LMI) representation.
