This article addresses a fractional-order iterative learning control (FOILC) design problem for linear time-varying systems with nonuniform trial lengths. A closed-loop FOILC updating law is introduced for tracking tasks with nonuniform trial lengths. To mitigate the influence of nonuniform trail lengths, redefined tracking errors along with current iteration information are adopted to construct control signal. Strict convergence analysis of the tracking error in iteration domain is given. Finally, the efficiency and performance of the proposed approach are verified by three illustrative examples.
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