Flight control systems designed using linear control theory do not perform adequately over the entire operating range of aircraft. Furthermore flight control systems developed for unmanned areil vehicles are expected to meet performance specifications in the presence of nonlinearities and/or failures. Adaptive controllers are ideal candidates for flight control sytem design due to their inherent ability to adapt to compensate for nonlinearities and or failures. Modification terms like e-modification, σ-modification and others are added to standard adaptive laws to ensure boundedness of the adaptive parameters. In this paper ight test results for Kalman filter implementations of ALR-modification for a Nonlinear in parameters neural network adaptive controller are presented. In addition flight test results of an H 2 adaptive control with e-modification are also presented.