Sentence examples for distributed terms from inspiring English sources

The delays in discrete and distributed terms are assumed to be time-varying, which means that the lower and upper bounds can be derived.

The novelty of our work is in the bounds on the controls, and the facts that (i) one does not need to compute any Lie derivatives to apply our controls, (ii) the controls have no distributed terms, and (iii) we do not require any differentiability conditions on the available controls for the subsystems.

In this method, only instantaneous terms are used, thereby avoiding the computation of distributed terms.

For the 1st and 3rd terms above, each of them is a sum of independently distributed terms with mean zero from the nonvalidation and validation subsamples, respectively.

Where other attributes are also specified as random, calculation of WTP will involve computing the ratio of two randomly distributed terms.

In case of, a further simplified expression for is given in [40].By approximating the pdf of as Gaussian,, will be the mean value of maximum of Gaussian distributed terms, which itself is approximated by [41] (A.4)The function is the standard normal CDF. is well approximated by [42] (and)where and.

For the purpose of easy implementation, the truncated predictor feedback (TPF) simplifies the predictor feedback by discarding the distributed term, and delay independent truncated predictor feedback further eliminates the delay-dependent exponential factor.

The resulting predictor-type feedback law contains a distributed term that involves the convolution between the past input and the state transition matrix and hence causes difficulty in its implementation.

The obtained solution is suboptimal and does not use distributed integration terms with advantages in terms of computational load.

Assumptions of normally distributed error terms and constant variance in error terms were confirmed by graphical evaluation of standard diagnostic plots.

Area II in Figure 3 contains an example for which the maximum likelihood with the interaction term is very low, implying that expression values are almost randomly distributed in terms of classes, as shown in Figure 1a.