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Since the parameter estimation method gives the parameter estimates such that the estimated outputs follow the outputs in a specified way, all the uncertainties and disturbances affecting the outputs can be reflected into the estimated parameters, thus making the adaptive linearizing controller robust.
The least squares method chooses the parameter estimates such that the sum of the squared residuals is minimized.
We then design residuals using the process model and state estimates such that each residual is only sensitive to the corresponding subset of faults.
The methodology is based on the computation of a reference threshold from the residue generated between the states of the system and the filter estimates such that when the residue takes values higher than this reference threshold the uncertain system is considered in fault.
Judges provided high and low estimates such that they were X% sure that the correct answer lay between them.
We, therefore, assume U∼10−3 m/s based on the other planetary estimates such that R m∼102 to give an upper bound of Λ i ∼1 when the toroidal estimate is included.
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From a spectral estimation point of view, the parameter vector should be estimated such that the LP residual has an approximately flat spectrum [1].
Using MDNs, the probabilistic models of both the forward and inverse dynamics are estimated such that they are dependent on the state and the control input.
In the proposed method, the values are estimated such that they comply with other noiseless elements.
The value of v depends on the required field of view and is estimated such that the images contained in the atlas completely cover the initial spherical image.
The parameters are estimated such that an overall measure of errors is minimized, which can be accomplished using a nonlinear optimization procedure.
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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