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Feed-forward terms obtained through model inversion increase the dynamic performances, while closed-loop regulators provide robustness with respect to model uncertainties.
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The feedforward controller consists of a model inversion and a parameterized disturbance model.
b Location of the open crack and deflation sill models estimated by the model inversion.
Model inversion refers to estimating these (hidden) states from data.
Data conditioning is then, effectively, a part of model inversion.
Model inversion in multivariable systems is non-trivial.
Model inversion is described in Appendix A in detail.
Model inversion was performed within each time window.
Sudomotor nerve parameters from the model inversion are summarised in Table 1.
Uncertainty arises in the model inversion due to errors in the measurement of natural systems.
Long inversions are more deleterious to host genome than short inversions are because the chance of recombination between inverted and non-inverted sequences increases as the size of inversion increases.
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