In　this　study,　a　finite-time　adaptive　prescribed　performance　control　scheme　is　investigated　for　multi-input　multi-output　systems　with　input　friction　and　backlash.　The　novel　fixed-time　neuro　disturbance　observer　(Fix-TNDO)　and　fixed-time　command　filter　(Fix-TCF)　are　constructed　to　ensure　fast　response　of　the　controlled　systems　with　settling　time　being　determined　regardless　of　initial　states.　The　uncertainties　caused　by　unknown　smooth　functions　are　handled　by　neural　network　approximators,　then　input　friction　and　system　disturbances　are　accurately　compensated　by　Fix-TNDO.　Meanwhile,　the　employed　Fix-TCF　is　utilized　to　avoid　repeated　differentiation　of　virtual　control　signals　during　controller　design.　In　particular,　prescribed　convergence　of　tracking　errors　for　multi-input　multi-output　nonlinear　system　is　ensured　by　finite-time　performance　function.　Finally,　simulation　and　experiment　results　demonstrate　the　feasibility　and　effectiveness　of　the　proposed　control　strategy.