The　aim　of　this　article　is　to　address　the　modeling　and　control　problems　of　discrete-time　Takagi-Sugeno　(T-S)　fuzzy　systems　that　are　affected　by　stochastic　packet　dropouts.　To　describe　the　stochastic　behavior　of　packet　dropout　between　the　sensor-controller　and　controller-actuator,　a　consecutive　packet　dropout　model　is　employed.　By　treating　consecutive　packet　dropouts　(CPDs)　as　an　extension　of　the　transmission　interval,　the　considered　T-S　system　is　transformed　into　a　stochastic　system　with　bounded　stochastic　input　delay.　In　addition,　a　novel　equivalent　model　for　the　closed-loop　system　is　proposed,　which　captures　the　nonuniform　distribution　of　the　input　delay　caused　by　CPDs.　Using　the　obtained　equivalent　model,　it　is　possible　to　evaluate　the　probability　distribution　of　each　stochastic　input　delay　value　using　the　formula　for　total　probability.　This　approach　allows　us　to　fully　consider　the　probability　information　of　CPDs　in　subsequent　stability　analysis　and　controller　design.　Based　on　this　model,　delay-probability　dependent　stability　conditions　are　derived　using　stochastic　Lyapunov　functionals,　and　controller　design　conditions　are　also　provided.　Finally,　the　correctness　and　conservatism　reduction　of　the　proposed　design　method　are　demonstrated　using　numerical　examples　of　two　physical　systems　described　by　T-S　fuzzy　models.