In addition, robust velocity estimation involving establishment of a dynamic friction model has also been investigated [6].
We generated a model, or phantom, data set to allow us to empirically determine a robust approach for velocity estimation from quantifiably noisy data.
Workpiece velocity measurements were obtained using a Photon Doppler Velocimetry (PDV) system, which provides a robust method for measuring velocities with submicron displacement and temporal resolution in the nanosecond range.
As the cross-sectional velocity decreases away from the mid-span, we observe a robust increase in the axial velocity component.
Considering the high cost of the available sensors for vehicle lateral velocity measurement, a robust H∞ dynamic output-feedback controller is designed to control the vehicle motion without using the lateral velocity information.
In particular, we computed the mean-squared displacement (MSD) curves for each cell, which, despite being less intuitive than cell velocities, provide a robust analytical framework for rapidly moving cells.
A robust relationship between the seismic wave velocity or attenuation and the CO2 saturation in porous rock was obtained from experiments using this pressure vessel.
Substituting detailed information for mold shape, poured volume and initial temperature into a developed control input generator, an optimum pressing velocity design and a robust design for defect-free production are proposed by the design algorithm based on the construction of an inverse system comprised of the sequential switching from higher to lower speed.
These results are contrasted by Fig. 13c, where the area-averaged convective mass flux, or vertical velocity, does not show a robust change with warming.
A robust method to select the most appropriate velocity, determined empirically (see below), was to simply accept the fastest of the 3 measurements.
