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A least-mean-square algorithm, the stochastic gradient search least-mean-square (SGSLMS) algorithm, is proposed. It is robust to noise in the gradient estimate and has fast convergence without having to use an optimal step size. The SGSLMS algorithm is realized by estimating the correlation between the adaptive error and the input signals using as proposed(More)
In order to design a high-performance controller with excellent positioning and tracking performance, an optimal tuning method based on the integrated design concept is studied. DOBs, feedforward controllers and CCC are applied to control the bi-axial linear servomechanism. To derive accurate dynamic models of mechanical subsystems equipped with linear(More)
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