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Also, an optimal input is obtained by a minimum variance controller with a Gaussian reference signal.
The technique uses a decoupling procedure optimized by a minimum variance error to estimate the inductance and resistance of the motor.
It is shown that the optimal input can be obtained by a minimum variance controller whose reference is a white noise sequence with known variance.
To obtain frailty index strata with minimum variance within observations in a particular stratum and maximum variance between strata, five frailty index levels were determined by a minimum variance method proposed by Dalenius [ 20].
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Generally, a multichannel Wiener filter can be decomposed into a minimum variance distortionless response MVDR beamformer followed by a (spectral) Wiener postfilter [18].
We propose to impose a minimum variance (sigma _{min ^{2}) for main axes by thresholding: tilde{Sigma}_{i} = V maxleft(Lambda, sigma_{min^{2}I right) V^{T}.
Proclus determines the dimensions of a subspace cluster by ordering all dimensions by the variance of its cluster members, and selecting the dimensions with a minimum variance (c.f. description of Proclus above).
A minimum variance controller is designed to maintain the cutting force at a prescribed level by adjusting the feed rate.
More specifically, to generate residual signals with a minimum variance, minimum variance estimation is first addressed in terms of recursive least square (RLS) and Kalman filter by iterative interactions with the process environment.
It is a wide belief that the minimum variance controller should be the optimal choice, since we perform an experiment for designing a minimum variance controller.
The second problem, the robustness of the tracking, is addressed using a minimum variance control approach.
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