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One key finding is that parametric uncertainty is more important than uncertainty in model structure.
This is captured using parametric uncertainty, resulting in stochastic microscopic models.
Both parametric uncertainty and external disturbance are taken into account.
In this paper, interval parametric uncertainty is considered.
Adaptive control is designed when the system parametric uncertainty exists.
Williamson, D. B., Blaker, A. T. & Sinha, B. Tuning without over-tuning: parametric uncertainty quantification for the NEMO ocean model.
This can be compared to the parametric uncertainty range calculated from observations (Fig. 5, blue), showing that the spread is similar to the subsampled model curve.
By dealing with the non-parametric uncertainty analytically and the parametric uncertainty with Monte Carlo Simulations, the distribution of the responses of the hybrid model can be obtained.
This paper is devoted to robust stable control for a platoon system with mismatched parametric uncertainty.
Both parametric uncertainty and geological uncertainty are considered in the analysis.
A sequential algorithm based on ellipsoid iteration is utilized to handle parametric uncertainty.
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