Sentence examples for minimum variance design from inspiring English sources
A design example compares the technique to an algebraic minimum variance design using an integrator when tracking is required.
The local linear controllers are obtained by Minimum Variance design based on a Local Model Network, i.e., a model of a nonlinear plant obtained by interpolation of linear models that guarantee a good approximation of the plant, at least locally, in the operating regime space.
Our approach is illustrated through an application to the special case of only one covariate, for which we construct minimum variance designs for different censoring mechanisms and both binary and interval design spaces.
The superposition of the parameter space boundaries from existing robust control techniques thus allows non-conservative robust minimum variance PID design.
We also construct minimum variance unbiased designs and weights which minimize the loss functions subject to a side condition of unbiasedness.
In order to design high order prediction minimum variance filters, a design procedure independent of the Diophantine Equation solution is used.
This paper presents a parameter space approach to constrained variance and minimum variance PID controller design for LTI models.
The multivariable H2 guaranteed robust minimum variance parallel model design problem subjected to norm bounded uncertainties is studied in this paper for sampled-data systems.
Like the minimum variance control (MVC) design, the output variances of the primary and the secondary loops are decomposed into a cascade-invariant and a cascade-dependent term, but the estimated ARMA model for the cascade control loop based on the minimum entropy, instead of the minimum mean squares error, is developed for non-Gaussian disturbances.
On this basis, the optimal linear estimators in the minimum variance sense are designed via projection theory.
A minimum variance controller is designed to maintain the cutting force at a prescribed level by adjusting the feed rate.
