A novel approach for robust active flutter suppression is studied in this work. Based on a structural and a linear unsteady aerodynamic models obtained by finite-element and doublet- lattice methods respectively, a hybrid identification technique is developed. It first computes a reliable poles-residues decomposition of a high-order model, in order to impose aeroelastic poles to a reduced-order model. The remaining unknown term is identified with the Loewner method. A complete control synthesis procedure based on a single closed-loop H∞ criterion is developed, starting with an optimal actuators and sensors selection based on a genetic algo- rithm, to the progressive design of a robust LPV control law, that efficiently stabilizes models at a given range of velocities. These techniques are validated with parameterized reliable high- order aeroelastic models.