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The kernel least mean square (KLMS) algorithm is an efficient non-linear adaptive filter that operates in the reproducing kernel Hilbert space (RKHS). In realistic applications of system identification or time series prediction, there are usually multiple inputs that demand multiple kernels or kernel parameters. This paper proposes to use a tensor product kernel for KLMS that accommodates multiple...
This paper presents an optimization of voice coil motor (VCM) used in ultra-precision motion stages based on an improved magnetic equivalent circuit (MEC) model. The modified MEC model takes into consideration the nonlinear saturation effect of ferromagnetic material by segmentation, and estimates the magnetic flux density in air gap of VCM in a more precise way. The results of experiment, finite-element...
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