This paper presents a robust adaptive fuzzy trajectory linearization control(RAFTLC) method and its application to an aero-space vehicle(ASV) flight control system.Based on the system's prior knowledge

the nominal fuzzy system is designed to estimate the unknown disturbances and uncertainties.A robust adaptive item is used to overcome the approximate error and weights error of the nominal fuzzy system.The bounds of the approximate error and weights error are adjusted on line.Uniform ultimate boundedness of all the signals of the composite closed-loop system is proved using Lyapunov theory.Finally

the flight control system of an ASV is designed based on the proposed method.Simulation results demonstrate the effectiveness and robustness of the control scheme.