Improving Prediction Accuracy of Noisy Hankel Matrix Models by Increasing Depth

Increasing the depth (number of rows) of Hankel matrices constructed from noisy input-output data can significantly improve the accuracy of self-consistent predictions, mitigating the effect of measurement noise.