This study introduces a novel frequency-based data-driven controller for adaptive optics, using power spectral density for optimization while ensuring stability criteria. It addresses disturbance rejection, command amplitude constraints and system transfer functions through convex optimization to obtain an optimal control in an infinite input response filter form. Evaluated within the SAXO+1 project, it demonstrates efficacy under diverse atmospheric conditions and operational scenarios. The proposed controller is tested in both standard and disentangled adaptive optics schemes,2 showcasing its adaptability and performance. Experimental validation is conducted using the COMPASS3 simulation tool, affirming the controller’s promise for enhancing adaptive optics systems in real-world applications.