Your English writing platform
Discover LudwigSuggestions(5)
Exact(60)
Section 1.4 discusses the estimation errors of the UFIR estimators.
Such selection is based on a criterion relative to the estimation errors obtained with each estimator.
More specifically, an iterative learning observer is firstly developed to estimate the torque deviation and steer the estimation errors into some small residual sets.
The PMF mean estimates exhibit a larger peak around 0. The estimation errors for the EnKF and MCKF appear similar.
Table 2 summarizes the estimation errors of selected CRR scenarios' harm rate estimates.
The impact of the estimation errors in time-delay and sensor coordinates on the spherical interpolation range estimator is analyzed via computer simulations.
The dashed lines indicate the estimation errors.
The estimation errors were quantified for each strategy.
The estimation errors are uncorrelated and identically distributed.
The approach is based on the parameterization of the obtained algebraic constraints from the estimation errors.
The estimation errors, the target's velocity, and the maneuver acceleration are all treated as bounded disturbance.
Write better and faster with AI suggestions while staying true to your unique style.
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