Receding horizon control for constrained networked systems subject to data-losses

We propose a novel receding horizon strategy for Networked Control Systems described by uncertain polytopic linear plants subject to time-varying delays and data-losses. We make use of sequences of pre-computed inner approximations of the one-step ahead state prediction sets on-line exploited as target sets for state predictions. The present approach is capable to deal with data-loss events of arbitrarily length without compromising closed-loop stability and constraints fulfilment.