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We show that it is possible to optimize the input in an identification experiment with respect to a performance cost function of a closed-loop system involving explicitly the dependence of the designed controller on the identified model.
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A limitation of this approach is its dependence on the design of the probes, which is time- and cost-consuming.
They also depict the dependence of the design on the model's parameters.
The geometry dependence of the design compressive stresses can be described using a form factor.
These techniques may be used to calibrate the reconstruction parameters and investigate their dependence on the design of individual atom probe experiments.
Fig. 3 a, b The dependence of reflective spectra of the designed structure on the index of dielectric.
The LCA does not change over time but the LCA is dynamic due to its dependence of the chosen design parameters (residence time and temperature).
Measurement results are presented which show the general dependence of the new design's actuated modes, the anti-symmetric and symmetric mode, on viscosity and density.
The inner dependence matrix of the design requirements is shown in Table 5.
In this paper we discuss the implications of scale-dependence, particularly spatial scale-dependence, for the design and interpretation of experiments.
The dependence of the resultant optimal design on the constraints used, e.g. at the member or system level, is investigated.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com