Neural dynamic surface hypersonic flight control using minimal-learning-parameter technique

This paper presents dynamic surface control for longitudinal dynamics of a generic hypersonic flight vehicle in presence of unknown dynamics. For the attitude subsystem, the minimal-learning-parameter technique is combined with dynamic surface design. The uniform ultimate boundedness stability is guaranteed via Small-gain Theorem. The singularity problem is removed and the simpler adaptive algorithm is easy to implement since the online updating computation burden is greatly reduced. Simulation result shows the feasibility of the proposed method.