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By resorting to this scheme, a set of advanced methodologies for multiscale modeling, model simplification, and multiscale controller synthesis can be seamlessly integrated to construct a high-performance control system.
This review paper focuses on two: a modeller's dilemma associated with determining appropriate levels of model simplification, and a dilemma of decision-making relating to the use of models that were never designed to predict.
We did not perform any model simplification and assessed model fit based on χ2-statistics.
Applications of the evaluation index in guiding model simplification and other applications of engineering analysis are also demonstrated through examples.
A disturbance observer that can estimate the disturbance caused by friction, model simplification, and controller output error has also been used to compensate a H∞ state feedback controller.
Algebraic manipulations are described as equivalence transformations and model simplification and enrichment assumptions as general modeling transformations acting on process models.
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However, current structural identification techniques that take advantage of measurement data to infer unknown properties of physics-based models fail to provide robust strategies to accommodate systematic errors that are induced by model simplifications and omissions.
They both reveal the links between assumptions and forecasts, help in-model simplification and may highlight unexpected relationships between inputs and outputs.
The second part of the section introduces the proposed model simplification workflow and its building blocks.
The NT-model is thus our point of departure for the model simplification process and sensitivity analyses.
Long-term settlement data of a thick soft clay deposit improved by vertical drains frequently shows different field settlement behaviors from laboratory-driven predictions by conventional theories due to the variability and uncertainty of the soil properties, modeling simplifications, and types of prediction methods.
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