Stochastic iterative learning control design for nonrepetitive events

This paper proposes a lifted domain ILC design technique for repetitive processes with significant non-repetitive disturbances. The learning law is based on the minimization of the expected value of a cost function (i.e., error norm) at each iteration. The derived learning law is iteration-varying and depends on the ratio of the covariance of non-repetitive… CONTINUE READING