The adaptive fuzzy finite-time output tracking control is addressed for a class of non-strict feedback high-order nonlinear systems with state constraints.The fuzzy logic systems are utilized to identify the unknown nonlinearities of the controlled systems,based on which the problem of state constraints is tackled by adopting barrier Lyapunov function.An adaptive finite-time control approach is developed combining backstepping control algorithm with adding a barrier power integrator.According to the finite-time Lyapunov stability theory,the proposed adaptive finite-time control scheme could guarantee the closed-loop system to be semi-globally practically finite-time stable and the states are ensured not to transgress their constrained sets.Moreover,the goal of finite-time tracking control is achieved.Finally,a numerical simulation is given to verify the effectiveness of the proposed adaptive finite-time control approach.