This Phase I research proposal is aimed at demonstrating the feasibility of an innovative architecture comprising control augmentation and on-line health monitoring system. This architecture integrats Flush Air Data System (FADS) with Reconfigurable Generalized Predictive Control (RGPC) technologies. The Phase 1 effort includes identification and description of all supporting modules, their functionality and associated algorithm structures, connectivity, and final simulations using a specific aircraft for system performance evaluations. Proof-of-concept study will include demonstrating the capability using selected aircraft health degradation and/or failure situations. The concept innovation is derived from the prognostic nature of the system feedback used by the controller for applying corrective aircraft control. In traditional controllers the errant transients possessing loss of control potential are detected after the fact and corrective actions for recovery are commanded by controller posteriori. The proposed system performs a real-time autonomous monitoring of aircraft surface pressure fields that contain precursor information for prediction of incipient errant transient motions. The proposed system will enable reconfiguration of control based on measured pressure field anomalies that indicate standard control system equipment malfunctions.