Predictive control via set-membership state estimation for constrained linear systems with disturbances

This paper combines predictive control and set-membership state estimation techniques, for input/state hard constraints fulfilment. Linear systems with unknown but bounded disturbances and partial state information are considered. The adopted worst-case approach guarantees that the constraints are satisfied for all the states which are compatible with the available information and for all the disturbances within the given bounds. A stability result and simulative studies are reported.

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