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A design example of the robust-optimal output feedback controller for the AFTI/F-16 aircraft control system with the time-varying elemental parameter uncertainties is given to demonstrate the applicability of the proposed new integrative approach.
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The optimum super-current, the corresponding field strength, and the net refrigerating power (qn) are expressed by the elemental parameters.
In addition, elemental parameters of movement, particularly direction, are typically encoded in premotor areas, such as the PMd, well in advance of the movement itself and before the appearance of activity in M1 [44], [44].
This elemental property parameter, referred to as the Mendeleev number, was conceived by D.G. Pettifor in 1983 to group binary compounds by crystal structures.
This elemental property parameter, referred to as the Mendeleev Number, was conceived by D.G. Pettifor in 1984 to group binary compounds by structure type.
A collaborative, international, team discovered that a non-linear expression involving one elemental property parameter could be used to predict, with 99+% accuracy, the occurrence of a compound for any ternary materials system.
It was found in the present work that a nonlinear expression involving one elemental property parameter can be used to predict, with an overall accuracy exceeding 99%, the occurrence of a compound for any binary, ternary or quaternary system.
For nonstoichiometric compounds a decrease in elemental cell parameter of 0.8 1% is characterized and the most possible result is the formation of an Fe3AlC0.66 cell instead of an Fe3AlC0.5 cell (creation enthalpy, eV/atom (–0.0348) and (–0.0335), respectively), as was previously thought.
This paper mainly concerns with the estimation of theoretical aspects; especially on evaluation of elemental ablation parameters and signal-to-noise ratio (SNR) calculations for the designed instrument.
The identified compound list was further cleaned by removing unnatural elemental combinations using parameters: O/C ratio <0.75 (e.g. PEG = 0.5) and DBE/C ratio also <0.75 (e.g. benzene = 0.66).
Because in our study we have not got enough data to test the normality and homoscedasticity assumptions of regression and correlation, we decided to use Spearman's rank correlation to test whether the selected elemental and behavioral parameters covary.
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