Sentence examples for model identification from from inspiring English sources

The focus of this paper is on finding tuning rules based on model identification from a closed-loop step test.

For this class of infinite-dimensional systems, the low-order model identification from process data is very important in practice.

A novel approach is proposed for the well-testing model identification from the pressure transient test data using the concept of shapelets in this article.

The present paper is similar to our previous work that was proposed for camera model identification from RAW images based on the heteroscedastic noise model.

The nonlinear character and the usually large number of parameters in biological mathematical models make model identification from experimental data a rather complex task.

Model identification from dynamic experimental data may involve the conduction of multiple experiments to identify a suitable model with adequate accuracy.

The goal of this paper is to design a statistical test for the camera model identification problem from JPEG images.

It comprises most of the direct parametric continuous-time model identification methods from a discrete-time set of measurements, both classical ones as the state-variable filter method and more recent ones as subspace-based methods.

Data from the SS and SR rats used for model identification are obtained from Roman [ 12].

Data plotted in both Figures 2 and 3 used for model identification are obtained from Roman [ 12].

A saturated logistic regression model for the situation where data were available for all four combinations of outcome and missing data indicator is not identifiable here, because we do not observe data where the missing data indicator is 0. Hence the model identification must come from the form of model (2), which assumes linearity and no interactions.