Exact(1)
It is shown that the simplification transformations above preserve the structural controllability and observability of process models.
Similar(59)
The comparison shows that the simplification is reasonable to capture the main dynamic characteristics of HCW systems.
Comparison between the numerical and analytical solutions showed that the simplification of the model was reasonable and there was almost no influence on the calculated results.
The simulation and validation results showed that the simplification of using the decoupled approach did not affect the predicted temperatures considerably, while reducing the computation time by 93%.
Comparison with the experiments shows that the simplifications made do not significantly influence the overall accuracy of the model.
Comparison with the previous design approach shows that the simplifications, of ignoring the variation in the deflected form, and ignoring the contribution of the unprotected steel beams to the membrane load-carrying capacity of the system, were conservative.
Results show that the simplifications and reduction induce errors under 1% in annual energy consumption and a maximum of 3% in instantaneous values but are accurate enough to reproduce dynamics of the detailed model.
This shows that the simplifications assumed in this forest model are sufficient to reproduce the complex interactions of climate and ecosystem fluxes even with the literature-based model version (M1).
We show that simplification of the habitat substantially affected bird abundance, diversity and mobility, which caused a reduction in fruit removal and a concomitant simplification of the seed shadows compared to the unaltered site.
It is shown that these simplifications on censored data cause substantial bias in the parameters estimated, and thus model predictions become uncertain.
It is shown that the commonly used model simplifications pose serious problems for large reactors.
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