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This model is extended with parametric uncertainties.
The best ANN model was compared favourably with parametric approaches.
However, the real dynamic model may associate with parametric uncertainties.
Generally estimation of PDF carries out with parametric or non-parametric methods [37, 38].
It can been observed that PCA-FV with parametric weighting is lightly better than other methods.
For the above reasons, this paper is only concerned with parametric adaptive filters.
Bootstrap methods have been shown to have good properties when compared with parametric methods[2 4].
In this section, two examples of continuous-time dynamic system with parametric model uncertainty are presented.
Solution of large order fluid structure interaction (FSI) systems with parametric uncertainties demand intensive computational resources.
Decentralized robust stabilization problem of discrete-time fuzzy large-scale systems with parametric uncertainties is considered.
A weighted topology reconstruction algorithm is implemented to represent the heterogeneity with parametric functions.
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