For　packet-based　transmission　of　data　over　a　network,　or　temporary　sensor　failure,　etc.,　data　samples　may　be　missing　in　the　measured　signals.　The　missing　measurements　will　happen　at　any　sample　time,　and　the　probability　of　the　occurrence　of　missing　data　was　assumed　to　be　known.　The　series　which　fulfils　Bernoulli　distribution　was　used　to　describe　the　missing　measurements.　Based　on　the　Takagi-Sugeno　fuzzy　model,　nonlinear　system　was　represent　by　T-S　fuzzy　model　via　the　so-called　parallel　distributed　compensation(PDC)　approach.　The　fuzzy　iterative　learning　controller　was　developed　to　guarantee　the　expected　convergence　of　the　tracking　error　and　with　quadratic　performance　index.　A　numerical　example　was　provided　to　demonstrate　the　validity　of　the　proposed　design　approach.　©2006　IEEE.