Robust digital model predictive control for linear uncertain systems with saturations

Actuator saturation constraint is inevitable in industrial process. In this paper, we consider a discrete receding horizon control, a piecewise constant robust model predictive control, for a continuous-time plant with actuator saturation constraint through a sampled-data control approach. The solution is formulated as an optimization problem subject to linear matrix inequalities. A numerical example is used to demonstrate the effectiveness of the proposed design procedure.