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A discrete-time learning control algorithm

A discretized version of the D-type learning control algorithm is presented for a MIMO linear discrete-time system. Necessary and sufficient conditions for uniform convergence of the proposed learning algorithm is presented. Then, the author proves that the same condition is sufficient for the global robustness of the proposed learning algorithm to state disturbances, measurement noise at the output and reinitialization error are present at each iteration.