To extend the proposed method to handle more general classes of uncertainties beyond the IQC framework, one approach is to incorporate robust control techniques. Robust control methods, such as H-infinity control or mu-synthesis, can provide guarantees of stability and performance in the presence of a broader range of uncertainties. By formulating the controller synthesis problem as a robust control problem, the neural network controller can be designed to be robust to uncertainties that may not be captured by the IQC framework. Additionally, techniques such as adaptive control or reinforcement learning with adaptive elements can be used to adapt the controller to varying levels of uncertainty in real-time.