Abstract: A robust adaptive flight control scheme is presented for a near—space vehicle(NSV)．A novel estimator design technique called the single Hidden layer neural network disturbance observer(SDO)is developed．The SDO utilizes both the universal approximation property of neural network，and more useful information on the controlled system．A new robust adaptive control algorithm is proposed by Integrating the existing trajectory linearization control(TLC)method with the SD0 technique．Conditions are derived which guarantee ultimate boundedness of all the errors in the closed--loop system．Finally，the flight control system of the NSV is implemented by using the proposed method．Excellent disturbance attenuation ability and strong robustness of the Proposed method are demonstrated．

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