This　paper　principally　presents　the　adaptive　fuzzy　dynamic　event-triggered　output-feedback　consensus　tracking　control　problem　for　constrained　nonlinear　multiagent　systems　(MASs)　encountering　false　data　injection　(FDI)　attacks,　using　monotone　tube　boundary　functions　(MTBFs).　First,　the　composite　observer　is　designed　to　concurrently　estimate　the　unpredictable　system　states　and　disturbances.　Then,　a　novel　parameter　integration　approach　is　constructed　via　the　fuzzy　approximation　technique　to　reduce　the　computational　burden,　where　the　uncertainty　terms　(state　errors,　composite　errors,　fuzzy　weights　and　injection　attacks)　can　be　converted　into　a　linear　parameterized　form　with　merely　one　unknown　scalar.　In　addition,　a　set　of　MTBFs　is　designed　to　prevent　the　excessive　overshoot　or　jitter　of　system　errors　in　the　transient-state　performance.　Furthermore,　an　adaptive　dynamic　event-triggered　control　(DETC)　strategy　is　constructed　on　the　basis　of　the　auxiliary　dynamic　variable.　All　the　closed-loop　signals　are　shown　to　be　bounded,　and　the　followers　can　achieve　the　synchronous　tracking　of　the　leader＇s　output.　In　the　end,　the　simulation　results　demonstrate　the　efficiency　of　the　proposed　control　strategy.　©　1993-2012　IEEE.