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Simulation involves use of a model to predict performance.
These animals are related to animals in contemporary Florentine manuscripts and perhaps reflect the use of a model book.
Systematic control structure design requires the use of a model of the plant.
As a consequence the use of a model equation for specifying the analysis becomes dispensable.
This trend agrees with our prediction which is based on the use of a model potential energy function.
The accuracy of the linearization is verified by the use of a model problem with an exact solution.
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Making use of a model-based investigation, a fault-to-symptoms dependency study is performed.
Model-Driven Development (MDD) has been proposed as a means to support the software development process through the use of a model-centric approach.
We report on the first use of a model-free algorithm (designed to remove baseline in NMR spectra) for background correction of LIBS data.
This is based on the use of a model-reference optimization procedure with servo and regulatory closed-loop transfer functions targets.
Consequently, neither the model nor the activation energy can be deduced from the use of a model-fitting method of kinetic analysis and a single non-isothermal curve.
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