The　variable　time　delay　and　the　packet　loss　degrade　the　performance　of　Internet　based　teleoperation　system　seriously,　even　make　the　system　unstable.　Building　upon　the　results　of　our　recent　work　in　[1],　a　provably　stable　event-prediction　based　control　strategy　is　proposed　for　variable　delay　teleoperation.　A　Path　Governor(PG)　at　master　site,　Generalized　Predictive　Controller　(GPC)　at　slave　site　and　a　model　of　variable　delay　within　a　predictive　control　frame　work　are　used　to　improve　the　response　transparence.　A　Sparse　Multivariable　Linear　Regression　(SMLR)　algorithm　is　proposed　to　predict　the　next　Round　Trip　Timedelay(RTT).　According　to　the　next　RTT,　the　PG　is　designed　to　generate　the　future　event　which　can　be　used　to　compute　the　robotic　position　that　is　the　one　when　the　command　was　transmitted　to　the　slave　robot.　The　GPC　can　generate　the　redundant　control　information　to　diminish　the　influence　of　the　packet　loss　and　the　large　time　delay　in　the　internet　to　the　system.　Finally,　a　Lypunov-based　analysis　of　the　performance　and　stability　of　the　resulting　system　is　presented.　Experiment　results　with　a　wheeled　robot　teleoperation　setup　demonstrate　that　these　strategies　can　dynamically　compensate　for　the　variable　time　delay　and　reduce　the　performance　degradation　induced　by　packet　loss.　©　2011　IEEE.