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The preliminary experiment identifies the fine MOGA tuning parameters using a two-level factorial experimental design.
The paper presents a methodology to determine these parameters using a notched tensile specimen.
Two methods are proposed for measuring the spectroscopic Stokes parameters using a Fourier transform spectrometer.
Next, the identification of the constitutive law parameters using a minimization algorithm is driven.
We derive local sensitivity measures for a truncated variational Bayes (VB) approximation and approximate nonlinear dependence of a VB optimum on prior parameters using a local Taylor series approximation.
In this study, authors examined various clinically relevant parameters using a finite element model of C3 C7 cervical spine to study the effects of variations of ball and socket disc designs.
This paper shows how to achieve this with structurally simple controllers, by optimising the parameters using a genetic algorithm.
Then, the smart actuator is applied to on-line adaptation of PID parameters using a standard pole-placement design method.
Several simulation runs were performed based on the design parameters using a 23 factorial design of experiments.
The formulae are developed in terms of several governing parameters using a reliable experimental database from the literature.
This design was sampled for sediment parameters using a GPS-receiver and mapped within the digitized shoreline of the estuary.
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