To provide active control of dynamic stall, which exhibits hysteresis and highly nonlinear dynamics, fundamental research is proposed in the following areas: 1) adaptive control based on nonlinear model optimization, 2) performance estimation derived from aerodynamic quantities, 3) online identification of nonlinear models using neural networks, 4) supervisory high-level control based on heuristics, and 5) integration of advanced actuators and sensors. The application of adaptive control approaches has shown improvement over open loop actuation for steady flow conditions but has yet to be developed to provide effective control of dynamic stall, a phenomenon common to helicopters and agile aircraft. Therefore, there is a great need to develop an adaptive control system that is able to mitigate dynamic stall, an area where passive and open loop approaches are not sufficient to avoid detrimental effects due to stall. Aspects of this research, especially the development of advanced actuators and the scientific understanding of flow phenomena, are areas of expertise of FSU personnel and specialization of FSU lab facilities. Florida State University (FSU) will work with Florida A&M University (FAMU) to develop an airfoil prototype that integrates advanced unsteady actuators with the experimental platform for adaptive flow separation control. FSU will also provide flow visualization for experiments conducted in FSU wind tunnel facilities.