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Moreover, these modules should update corresponding to the updatings of local LTI models, which validations are determined by the model approximation errors and the optimal index of local design.
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Finally, we investigate the additional possibility of Taxy-Pro to characterize the uncertainty of a composition estimate by means of the model approximation error.
Linear black box models are identified using frequency domain identification techniques, while robust linear control design techniques (H∞ and μ-synthesis) account for the model uncertainties introduced by the linear model approximation of the nonlinear dynamics.
However, from a practical perspective, experiments indicate that the difference in fault probabilities in the second cache obtained by comparing the independent reference model approximation and the actual miss stream is not large, although measurable.
This method does not only dynamically compensate for shortcoming caused by static decoupling but also overcomes the impact of model error on system performance caused by model approximation and uncertainty.
Finally, the advantage and effectiveness of the proposed reduced-order model approximation approach are shown by the simulation result.
The tests were carried out on simulated and measured data and it was found that all-pole models are most suitable than all-zero models when both of the above two aspects must be satisfied by the approximation model.
The chaotic behavior, as characterized by the Lyapunov exponents, displayed by the model based on the bimolecular approximation approaches, in the limit, that of the model based on cubic autocatalysis.
By applying some relevant model approximations, the computational overhead of the proposed algorithms compared to the normalized least mean squares (NLMS) algorithm can be reduced to 25% of the NLMS complexity.
Then, internal voltage distribution is determined by applying a lumped-parameter model approximation.
We could see the expected relationship between the value of the Michaelis constant and the plausibility of the model simplifying approximation by using our approach.
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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