For　packet-based　transmission　of　data　over　a　network,　or　temporary　sensor　failure,　etc.,　data　samples　may　be　missing　in　the　measured　signals.　This　paper　deals　with　the　problem　of　iterative　learning　controller　design　for　linear　discrete　time　systems　with　missing　measurements.　The　missing　measurements　will　happen　at　any　sample　time,　and　the　probability　of　the　occurrence　of　missing　data　is　assumed　to　be　known.　The　iterative　learning　controller　is　developed　to　guarantee　the　convergence　of　the　tracking　error　and　with　quadratic　performance　index.　A　numerical　example　is　provided　to　demonstrate　the　validity　of　the　proposed　design　approach.