Adaptive Dynamic Surface Control of a Supersonic Flight Vehicle
The design of a nonlinear adaptive dynamic surface controller for the longitudinal model of a hypothetical supersonic flight vehicle is considered in this work. The uncertain nonlinear functions in the strict feedback flight vehicle model are approximated by using radial basis function neural networks. A detailed stability analysis of the designed angle-of-attack controller shows that all the signals of the closed loop system are uniformly ultimately bounded. The performance of the designed controller is verified through numerical simulations of the flight vehicle model.
W. A. Butt et al., "Adaptive Dynamic Surface Control of a Supersonic Flight Vehicle", Applied Mechanics and Materials, Vols. 110-116, pp. 3580-3586, 2012