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A control design procedure for disturbance rejection, when the disturbance model is uncertain, is proposed.
It calculates two different intrinsic motivations from this model: one to explore where the model is uncertain, and one to acquire novel experiences that the model has not yet been trained on.
Using a probabilistic loads extrapolation approach and the first order reliability method, a large multi-megawatt wind turbine blade and tower structural reliability are assessed when the extreme turbulence model is uncertain.
When the uncertainty is extremely localized, one can expect gains in computational efficiency of two to three orders of magnitude while only modest gains of 2 3 times are observed when half the model is uncertain.
Since the genetic risk model is uncertain for most of the SNPs considered, we performed these tests on the co-dominant models only.
At present, the exact mechanism(s) contributing to such differential TSPY expression patterns between human prostate cancer and LADY tumor model is uncertain.
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The matrices of the system state-space model are uncertain, belonging to a given polytope.
The matrices of the system state-space model are uncertain and supposed to belong to a given polytope.
The locations of F2 and nanoparticles (referred to as P in our model) are uncertain.
We develop an interval observer working in closed loop, for the state variables estimation of systems whose modelling is uncertain, as it is generally the case for bioprocess models.
The effect that these patients would have had on the accuracy of the models is uncertain.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com