  The aim of this paper is to propose a new data-driven control scheme for
multi-input-multi-output linear time-invariant systems whose system model are
completely unknown. Using a non-minimal input-output realization, the proposed
method can be applied to the case where the system order is unknown, provided
that its upper bound is known. A workaround against measurement noise is
proposed and it is shown through simulation study that the proposed method is
superior to the conventional methods when dealing with input/output data
corrupted by measurement noise.
