Sentence examples for the output variance from inspiring English sources

Requirements for tracking regulation can be readily achieved without excessively increasing the output variance.

The sensitivity analysis results suggest exploring improvements in the current control (Proportional Integral Derivative) for moisture content at concentrate chamber feed in order to reduce the output variance.

This paper proposes an approach of sensitivity analysis for LCA of building retrofit measures aiming to establish the impact of input data uncertainties on the output variance.

Numerical results show that the proposed method has good accuracy if compared with discrete event simulation and outperforms existing methods for the output variance estimation.

In this situation, a policy that actively controls the process to the target will often result in a substantial reduction in the output variance (MacGregor 1990).

The standard least-squares error of a linear predictor, using weight vector and ignoring a constant term for the output variance, is calculated by (B1).

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.

Based on the controlled output, the current output variance of the feedback/feedforward system is contributed by the feedback-only effect and the combination of feedback with feedforward effects, respectively.

The importance of a given input factor X i can be measured via the so-called sensitivity index, which is defined as the fractional contribution to the model output variance due to the uncertainty in X i.

A first measure of the fraction of the unconditional output variance V Y) that is accounted for by the uncertainty in X i is the first-order sensitivity index for the factor X i defined as (Saisana et al., 2005): (16) S i = V i / V Eq. (16) is the first term in Eq. (13) and is known as interactions.

The design problem is to find a causal stabilizing controller, which ensures the minimal value of the mean output variance.