This　paper　studies　a　new　resilient　event-triggered　model-free　adaptive　predictive　control　(MFAPC)　method　with　anti-attacks　for　disturbed　switched　nonlinear　systems　in　non-ideal　network.　The　switched　nonlinear　systems　are　transformed　into　equivalent　dynamic　data　models　by　dynamic　linearization.　Considering　the　denial　of　service　(DoS)　attacks　in　non-ideal　network　environment,　an　anti-attacks　method　based　on　a　hold　mechanism　and　a　resilient　event-triggering　strategy　(RETS)　is　considered,　which　reduces　attacks　impact　on　system　performance.　A　parameter　estimator　is　given　to　estimate　the　external　disturbance　and　further　obtain　accurate　system　models.　In　addition,　a　new　tracking　error　boundedness　analysis　method　is　given　by　using　the　average　dwell　time　(ADT)　technique　and　Lyapunov　function.　Finally,　motor　simulation　results　are　given　to　verify　the　applicability　of　the　proposed　method.　IEEE