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In this study both a statistical approach and a dynamical model are used.
For this purpose a linearized and a nonlinear ship model are used.
Results gained from one model are used as input parameters or boundary conditions on other levels.
Several sensors and a predictive model are used to collect data in real time.
Parameters of the identified model are used to design a controller based on dynamic feedback linearization.
The co-integration methodology and an error-correction model are used to examine the causal relationships.
A user model, space model and evaluation logic model are used for the evaluation simulation.
In order to derivethe heat transfer equation, energy balance and Darcy model are used.
The outputs of the model are used to evaluate soil ecosystem service provision.
A transient effectiveness concept and model are used to develop transient modeling methodologies.
A uniform mixed-level supersaturated design and the centered quadratic regression model are used.
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