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To address this issue, an ensemble modelling approach – which considers a set of climate models – is applied in this study with a monthly, conceptual hydrological model for assessing future runoff conditions in the upper Danube basin (101,810 km2).
Therefore, a solver using reduced structural models is applied.
A hybrid multi-objective evolutionary algorithm coupled with surrogate models is applied to find out global Pareto-optimal solutions.
It also presents how a high level of traceability can be obtained if runtime support of automated reasoning over models is applied.
The studies of such a multiscale problem often use multiple computer models, while each of computer models is applied to a small range of spatial and time scales.
In this paper, a systematic control-oriented robust identification procedure which produces a parametric/nonparametric set of models is applied to a duct, in order to design a feedback active noise control (ANC) based on robust analysis and control.
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Regression models were applied.
Three material models were applied.
Two kinetic models were applied.
Mass point analytical models were applied.
Detailed thermochemical and transport models are applied.
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