Based on the first and second derivatives of the three schemes, the successive steps with the same parametric configuration in the pipeline of Figure 1 were applied to extract the IPCs.
In the successive optimization steps based upon the parametric solution method, design parameters of skew, pole embrace, and pole arc offset are chosen to be optimized so that the cogging torque is reduced.
To execute the SAGE algorithm, an initial estimate (hat {boldsymbol {Theta }}^{[0]}) of the unknown parameters Θ is necessary, which can be obtained by using, e.g., the Bartlett beamforming method [17], or parametric approaches based on successive interference cancelation, such as the non-coherent MLE proposed in [18].
The assessment of robustness was based on the semi-parametric PWP model's ability to predict the successive times of occurrence of events when the underlying process actually is parametric (specifically a NHPP having log-linear proportional intensity function with one covariate).
This successive approximation approach is standard in non-parametric, nonlinear, system-identification (e.g., Volterra and Wiener series [10]).
The basis of the approach is the formulation of the incremental problem as a convex parametric quadratic programming (PQP) problem between two successive plastic hinges.
Weakly non-linear dynamical systems subjected to random parametric and external excitations are investigated by using a successive approximations technique.
Rather than by employing complex mathematical algorithms, a fit is achieved by drawing a parametric outline that complies with the design intent, and by adjusting the different parameters through successive approximations using commercial CAD software commands.
A robust algorithm for subpixel motion estimation is proposed by El Mehdi et al. In the work entitled "A Robust Sub-Pixel Motion Estimation Algorithm Using HOS in the Parametric Domain," a class of algorithms is presented that estimate the displacement vector eld (DVF) from two successive image fames.
The most informative K was identified using the ad hoc statistic ΔK, which is based on the rate of change in the log probability of data between successive K values [ 59] and the analysis of variance of the log likelihood values using the non-parametric Kruskal Wallis test [ 60] (SPSS Statistics 20; IBM).
