For the AR estimator, the estimated model order M for the minimum error is presented.
System identification is used to construct an estimated model, and the estimated model will be updated whenever the estimated mismatch exceeds predetermined bound.
By updating the parameters of the estimated model based on prediction error, the estimated model approaches the real plant gradually in real-time.
Left: power spectrum of the 'true' model (black), the estimated model without polar gap treatment (red), and the estimated model with the polar gap processing (blue).
Thus, we estimated model II and model III using the Tobit estimator.
The LMR-LRT compares the estimated model with a model with one class less than the estimated model.
until estimated model appears isotropic .
Estimated model parameters further help elucidate the different catalysts' activities.
are found to be statistically significant in the estimated model.
The "Appendix" section contains the equations for each estimated model.
We compared this model with the freely estimated model.
