This　article　considers　the　issue　of　adaptive　fuzzy　predefined-time　control　for　nonlinear　systems.　Fuzzy　logic　systems　(FLSs)　are　introduced　to　estimate　the　uncertain　nonlinear　functions.　The　command　filter　technology　is　applied　to　overcome　the　difficulty　of　＇explosion　of　complexity＇.　The　error　compensation　mechanism　is　adopted　to　compensate　the　error　generated　via　command　filter.　Based　on　the　backstepping　technique,　a　fuzzy　adaptive　predefined-time　command　filter　control　scheme　is　presented.　The　presented　control　strategy　demonstrates　that　all　the　signals　in　closed-loop　system　are　bounded　and　the　tracking　error　can　converge　to　a　small　area　near　zero　within　predefined　time.　The　simulation　results　illustrate　the　validity　of　the　developed　control　strategy.　©　2004-2012　IEEE.