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This paper presents the stability analysis of the iterative learning control (ILC) for linear discrete-time system when they are subject to output measurement data dropouts. Using the so-called super-vector approach to ILC, the expectation of output error covariance matrix is employed to develop sufficient conditions for monotonic convergence of such an ILC process. The analysis is supported by simulations.
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