The　trajectory　tracking　control　of　a　free-floating　space　manipulator　with　joint　torque　output　dead-zone　and　external　disturbance　is　studied.Dead-zone　and　external　disturbance　will　affect　the　control　precision　and　stability　of　the　system.The　steady　state　error　caused　by　external　disturbance　is　reduced　by　use　of　the　integral　variable　structure　function,and　the　radial　basis　function　neural　network　is　used　to　approximate　unknown　part　of　the　dynamic　equation.Then,an　integral　sliding　mode　neural　network　control　is　proposed.In　the　scheme,effects　due　to　the　unknown　slope　and　boundary　of　the　dead-zone　are　eliminated　by　introducing　dead-zone　and　disturbance　compensation,and　the　effects　due　to　unknown　supremum　of　the　optimal　approximation　error　are　eliminated　by　the　optimal　approximation　error.The　Lyapunov　stability　analysis　proves　that　the　closed-loop　control　system　is　stable　and　the　trajectory　tracking　error　converges　to　a　neighborhood　of　zero.Simulation　results　show　the　effectiveness　of　the　control　scheme　and　realize　trajectory　tracking　control　of　the　space　manipulator.　©　2018,　Editorial　Office　of　Chinese　Journal　of　Computational　Mechanics.　All　right　reserved.