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Again we compared various classifiers that were used for model identification (see Table 6).
Analytical expressions that are used for model identification are also provided.
The level of complexity of the description is limited by the amount and quality of available experimental data, which can be used for model identification.
The data used for model identification were collected during several weeks of experiments on a real plant so that good identification data were obtained.
The batch experiments used for model identification are designed by minimizing the magnitude of the parameter uncertainties, and the effect of these uncertainties on the product quality achievable by optimal control is used as a stopping criterion for the identification procedure.
Data from the SS and SR rats used for model identification are obtained from Roman [ 12].
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The paper is organized as follows: First, we describe the framework used for model selection and identification, based on the nested models paradigm.
The complete data set generated from this process is then used for model development and the identification of interactions.
Although either static or dynamic measurements have been used for model updating in a damage identification procedure, when a generally valid and accurate model is sought, different types of measurements should be combined.
The diagnostics was performed using the data that was not used for the model identification.
The processed input and output signals are used for the model identification of (1) and (4).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com