Sentence examples for model based identification from inspiring English sources

Validity and accuracy of model based identification techniques such as linear finite element (FE) model updating are sensitive to modeling errors.

The first technique is "Direct Identification Method" (DIM) in which no pre-assumed model is considered for the nonlinearity's behavior and the second technique is "Model based Identification Method" (MIM).

The benefits of using the Wiener model based identification and control methodology presented in this paper, compared to linear techniques, are demonstrated for dual composition control of a moderate high purity distillation column simulation model.

Recent result of (Ilka et al., 2016) is further developed for the presented PWA model based on identification in working points.

To investigate the benefit of the Daphnia pulex filtered models database on the MS based identification of Daphnia proteins, cross-species identification, as suggested by several authors [ 17, 18], was performed using the Metazoa subset of the Swiss-Prot database (Release 54.2, 78,385 entries) and the Drosophila melanogaster database from FlyBase (20,726 entries).

We also present a refinement of Ellis's model based on the identification of several levels that the behaviours were found to operate at and the identification of sets of mutually exclusive subtypes of behaviours.

In addition, Faxing Du etc. (2009) built the water resources carrying capacity evaluation model based on attribute identification of entropy weight and traditional multi-objective analysis decision technology.

As we can see from Table 4, this novel identification model based on the basic genetic algorithm has a relatively higher precision: the relative error between identification results of pollutant amount and analytic results varied from −1.7 to 5.0 %, and the relative error between identification results of source position and analytic results varied from 0 to −1.6 %.

This paper deals with model based Fault Detection and Identification in non-linear systems.

In order to fully but un-redundantly identify five-axis PIGEs, this paper proposes a new PIGEs identification model based on DMM in the global coordinate frame.

In traditional PIGEs identification model based on differential motion matrices (DMM), PIGEs elements are defined in the local frames attached to the previous axis, which is inconvenient to do redundance analysis.