Based　on　the　Takagi-Sugeno　fuzzy　model,　a　fuzzy　iterative　learning　control　scheme　is　developed　by　the　parallel　distributed　compensation　(PDC)　method.　For　packet-based　transmission　of　data　over　a　network,　or　temporary　sensor　failure,　etc.,　data　samples　may　be　missed　in　measured　signals.　The　missed　measurements　happen　at　any　sample　time,　and　the　probability　of　the　occurrence　of　missing　data　is　assumed　to　be　known.　The　series　meeting　the　Bernoulli　distribution　is　used　to　describe　missed　measurements.　The　fuzzy　iterative　learning　controller　guarantees　the　expected　convergence　of　the　tracking　error　and　has　quadratic　performance　indices.　Simulation　example　demonstrates　the　validity　of　the　design　approach.