The　key　focus　in　this　paper　is　to　develop　an　adaptive　fuzzy　function　constraint　control　method　for　nonlinear　systems　with　actuator　and　sensor　faults.　The　effectiveness　indicators　of　actuator　and　sensor　are　considered　as　the　unknown　functions　with　the　bounded　time-varying　bias　fault　existing　in　actuator.　Because　system　states　are　not　applied　to　design　controller,　how　to　achieve　constraints　on　the　system　states　is　a　significant　challenge.　In　order　to　cope　with　this　challenge,　the　constraint　target　transformation　is　introduced　to　convert　the　constraints　on　real　states　to　measurement　variables.　Then,　the　nonlinear　statedependence　mapping　is　used　to　ensure　tracking　error　and　system　states　remain　within　the　given　function　constrain　ranges.　In　contrast　to　the　existing　time-dependence　constraint　methods,　this　paper　consider　that　the　constraint　boundaries　are　related　not　only　time　but　also　state　variables,　which　extends　the　application　fields　for　practical　systems.　Moreover,　the　deferred　transformation　function　is　employed　to　remove　the　restrictive　condition　that　the　initial　values　of　system　states　must　be　within　the　constraint　regions.　Finally,　the　effectiveness　of　the　developed　method　is　confirmed　by　two　simulation　examples　including　the　numerical　example　and　wastewater　treatment　process　(WWTP).　IEEE