Abstract: A process and machine configured to predict and preempt an aerodynamic disturbance. The machine may include a BDE (Bhan-Donahue-Endres) adaptor configured to that comprises a specially programmed processor that has an adaptive learning control and rules to: modify a control augmentation system on an aerospace vehicle, to preclude an undesired state of the aerospace vehicle unaccounted for by control laws in current control augmentation systems; form a prediction for an airspeed of the aerospace vehicle that replaces an airspeed input from a sensor of the aerospace vehicle, in a phase of operation prone to instrumentation error, into the control augmentation system; generate an estimate, based upon the prediction, of an anticipated disturbance to a desired state of the aerospace vehicle; and generate, based upon the estimate, a command to a control element of the aerospace vehicle that preempts the undesired state of the aerospace vehicle.

Abstract: A process and machine configured to predict and preempt an aerodynamic disturbance. The machine may include a BDE (Bhan-Donahue-Endres) adaptor configured to that comprises a specially programmed processor that has an adaptive learning control and rules to: modify a control augmentation system on an aerospace vehicle, to preclude an undesired state of the aerospace vehicle unaccounted for by control laws in current control augmentation systems; form a prediction for an airspeed of the aerospace vehicle that replaces an airspeed input from a sensor of the aerospace vehicle, in a phase of operation prone to instrumentation error, into the control augmentation system; generate an estimate, based upon the prediction, of an anticipated disturbance to a desired state of the aerospace vehicle; and generate, based upon the estimate, a command to a control element of the aerospace vehicle that preempts the undesired state of the aerospace vehicle.