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Long term shocks represent 76.5%% of output variance.
Requirements for tracking regulation can be readily achieved without excessively increasing the output variance.
In this paper, we examine the performance of a blind minimum output variance (MOV) estimator.
A diagnosis tree based on the controlled output variance is proposed to assess a feedforward/feedback control performance.
The design problem is to find a causal stabilizing controller, which ensures the minimal value of the mean 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.
Similar(9)
The trade-off curve provides the optimal performance limit in terms of the best achievable input and output variances.
This paper presents the design and evaluation of a minimal order Generalized Minimum Variance controller with long-range prediction horizon and how it affects the controller and plant output variances.
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.
In the second step of BACCO GEM-SA there were only three (in the case of dSOC) and six (in the cases of N2O and yield) input parameters whose influence contributed to more than 10% of the total output variances by their total effects.
We found that across all cells, the pair of properties that explained most of spike-output variance was a pair of activation potentials for sodium and stable potassium voltage-gated currents (INa and IKS; 18% of variance without interaction, 19% with interaction).
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