Sentence examples for method which addresses from inspiring English sources

Thirdly, a robust controller is designed using H∞ method, which addresses input constraints of the AHV by additional linear matrix inequalities (LMIs).

With the aim of keeping the desired features of the IMC design method, we propose a new H∞ control design method which addresses open issues and also can be used for both stable or unstable plants in a coherent framework.

One of the most well-known approaches is the embedding based method which addresses this challenge by solving a relaxed optimization problem with only continuous inputs and then projecting the relaxed solution back to obtain a solution to the original problem.

Cattaert et al. [ 19] have developed FAM-MDR method, which addresses correlation between observations in family-based studies and extends the model based MB-MDR approach [ 24] to handle continuous covariates and continuous phenotype.

In addition to the transcriptomic similarity of phylotypic stages between different species, transcriptome age index (TAI) based methods, which address the total evolutionary ages of expressed genes in each developmental stage, show convergent evolution matching an hourglass pattern of embryogenesis in animals and plants [ 5, 6].

This method, which also addresses the uncertainty of decision-maker preferences, ranked the strategies, and at the same time, specified the typical decision-maker preferences for each strategy.

Three levels of adaptive thresholds along with an auxiliary condition are used in this method which adequately addresses the drawbacks of existing methods, especially the miss detection of noise-free pixels as noisy pixels and vice versa.

Whilst the randomised trial is not a panacea to this problem in technological research we believe that by restricting our review to a method which explicitly addresses this issue was the best approach.

This difference stems from the fact that low STD does not necessarily mean high quality of prediction, and it merely translates into high precision of the machine learning task the lack of sensitivity to bias is the main flaw of this method, which is addressed in the newly proposed RDN method through the addition of the weighting term W i (which accounts for both).

There are, however, further problems with this method, which we address here.

We present a nonparametric method, which can address in a nonbiased way the arbitrary spatial distribution and unknown noise character of the expression data.