Sentence examples for uncertainty terms from inspiring English sources

At first, Neural Network (NN) is used to approximate the nonlinear uncertainty terms derived from the controller design procedure for the followers.

In cases where non-linearity in the model was significant, agreement between the uncertainty estimates was poor as the spreadsheet approaches do not include second-order uncertainty terms.

The function approximation technique using neural networks is employed to estimate nonlinear uncertainty terms derived from the controller design procedure for the followers.

Relatively new approaches include the estimation of both the bias and predictor uncertainty terms of prediction error, the construction of MMEs specifically designed to explore the uncertainty in model structure, the use of emulators for sensitivity analysis and the exploration of ways to reduce prediction uncertainty other than through model improvement.

In this paper, it is proven that a state dependent switching law designed for integrator switched systems can be used to stabilize complex switched uncertain nonlinear systems as well as a class of impulsive systems, provided that the upper bound of the uncertainty terms satisfy a relationship with the nominal system parameters estimation of the nominal system parameters.

The prior (Equation 7) was the same as that for the basic model, but the likelihood included independent spatial uncertainty terms, σs1 and σs2, representing the standard deviations of the Gaussian likelihoods evoked by the first and second stimuli, respectively.

The robust loop shaping design procedure considering non-parametric uncertainty term is used to design H∞ TCSC.

The approach does not require the upper bound of the uncertainty term to be known through some adaptive estimation.

Further, due to the variations of loading conditions in power system, an uncertainty term is incorporated to MJLS.

Here, w k denotes the class centroid, e jkn represents the class-specific uncertainty term with covariance matrix Σ jk, o jn denotes the outlier term which models disturbances of an unspecified density and.

Alternatively, one could introduce uncertainty as an additional "uncertainty term" into the cost function.